Search

Electromagnetic wave velocity in ground‐penetrating radar (GPR) constant offset data can be estimated via the diffraction hyperbola fitting method. This method is applicable when radargrams contain diffraction events (hyperbolic patterns) caused by scatters in the host smaller or equal to the dominant wavelength. An alternative method for velocity estimation, if no intrusive information is available for a direct correlation, requires the collection of multi‐offset data. The method is quite common for broad geophysical applications; however, it seems not to be fully utilized for engineering applications, such as slabs/walls where thickness estimation and depth of the embedded features are critical requirements for structural assessments. This method would also overcome the limitations in velocity calibration in environments with no hyperbolic signal signatures. The aim of this study is to explore multi‐offset high‐frequency GPR applications, specifically the wide‐angle reflection and refraction method, for structural engineering, to understand whether it is feasible, possible limitations, and advantages. Numerical models reproducing reinforced concrete elements and a cavity wall were analysed to understand the wave behaviour and predict the response prior to testing on real cases. The main purpose is to explore how reinforcing bars can affect the velocity spectra derived from semblance analysis and what the response would be in a case of multi‐layered structure with increasing velocity with depth (cavity wall). The comparison with real cases showed that, despite some intrinsic limitations, high‐frequency multi‐offset approach could be part of standard workflow for all those surveys where no other velocity estimation method is feasible. [ABSTRACT FROM AUTHOR]

This paper proposed a web engineering architecture based on three main phenomena called Structured Development, high reliability and multi-level flexibility. The ontology is formed and mapped to generate a structured and user-assisted design. The user requirements are captured in this model based on an ontology map. Web engineering is applied to capture the various elements of web development including the functional features. In the development phase, the captured inputs and features are processed for designing the static and active web pages. The functional interconnectivity, validations, and security are integrated for all pages. The second important aspect of high reliability is achieved by managing the control level validations, BlackBox testing, cookies control, and session tracking. Multi-level flexibility is achieved at each level of this model including requirement gathering, ontology formation, webpage development, control validations, and testing. The XML files are generated at different levels to manage and control user responses. The proposed model is verified on seven case studies and the analysis is done in terms of design time and the number of cycles required for finalizing the website. The qualitative evaluation of the proposed model is done against 11 existing web designing tools. The project development is accomplished from 15 to 70 s based on the project size. The number of change cycles of different projects lies between 4 and 12. The analytical study identified that the proposed model is effective and reliable enough against template support, requirement gathering, customization, control validation, testing, and security. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The production of green hydrogen and its scale-up require the enginering and installation of new electrolysis plants. Modular electrolysis plants ease the scale-up as they allow to add further modules with growing demand. While many engineering methods focus on the detailed planning of the plants and their automation systems, the early engineering phases are scarcely considered, supported or formalized. However, especially these phases are crucial in the current scale-up of modular electrolysis plants. In this paper, an intention-based engineering approach for the early engineering phases Requirements Engineering and Conceptual Engineering for modular electrolysis plants is presented and evaluated based on three different use cases. The approach is based on Goal-oriented Requirements Engineering from Software Engineering and relies on an early, systematic as well as formalized description and analysis of intentions of different engineering disciplines. [ABSTRACT FROM AUTHOR]

Nowadays, services related to IT technologies have assumed paramount importance in most sectors, creating complex systems involving different stakeholders. Such systems are subject to unpredictable risks that differ from what is usually expected and cannot be properly managed using traditional risk assessment approaches. Consequently, ensuring their reliability represents a critical task for companies, which need to adopt resilience engineering tools to reduce the occurrence of failures and malfunctions. With this goal in mind, the current study proposes a risk assessment procedure for cloud migration processes that integrates the application of the Functional Resonance Analysis Method (FRAM) with tools aimed at defining specific performance requirements for the suppliers of this service. In particular, the Critical-To-Quality (CTQ) method was used to define the quality drivers of the IT platform customers, while technical standards were applied to define requirements for a security management system, including aspects relevant to the supply chain. Such an approach was verified by means of its application to a real-life case study, which concerns the analysis of the risks inherent to the supply chain related to cloud migration. The results achieved can contribute to augmenting knowledge in the field of IT systems' risk assessment, providing a base for further research. [ABSTRACT FROM AUTHOR]

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Construction Technology is the property of Railway Construction Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we aimed to demonstrate how to engineer Internet of Things (IoT)-based open multiagent systems (MASs). Specifically, we put forward an IoT/MAS architectural framework, along with a case study within the important and challenging-to-engineer vehicle-to-grid (V2G) and grid-to-vehicle (G2V) energy transfer problem domain. The proposed solution addresses the important non-functional requirement of scalability. To this end, we employed an open multiagent systems architecture, arranging agents as modular microservices that were interconnected via a multi-protocol Internet of Things platform. Our approach allows agents to view, offer, interconnect, and re-use their various strategies, mechanisms, or other algorithms as modular smart grid services, thus enabling their seamless integration into our MAS architecture, and enabling the solution of the challenging V2G/G2V problem. At the same time, our IoT-based implementation offers both direct applicability in real-world settings and advanced analytics capabilities via enabling digital twin models for smart grid ecosystems. We have described our MAS/IoT-based architecture in detail; validated its applicability via simulation experiments involving large numbers of heterogeneous agents, operating and interacting towards effective V2G/G2V; and studied the performance of various electric vehicle charging scheduling and V2G/G2V-incentivising electricity pricing algorithms. To engineer our solution, we used ASEME, a state-of-the-art methodology for multiagent systems using the Internet of Things. Our solution can be employed for the implementation of real-world prototypes to deliver large-scale V2G/G2V services, as well as for the testing of various schemes in simulation mode. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the construction of high-speed railway subgrade engineering, there is still a lack of advanced design and calculation methods for surcharge preloading with insufficient preloading period, which needs to be transformed from the qualitative stage to quantitative calculation stage. Based on the concept that surcharge preloading must be unloaded to equal preloading in advance and the settlement consolidation calculation theory, this paper systematically establishes the implementation principle and design method of surcharge preloading for high-speed railway subgrade with insufficient preloading period: (1)it is determined that the foundation does not need to be reinforced when the natural base or pile bottom of the pile-plate structure is strongly or weakly weathered bedrock; and it can be qualitatively reinforced conditionally under such other working conditions as when the post-construction subsidence meets the requirements of specification; (2) On the basis of determination the overload unloading time and the recommended value of unloading settlement standard, the calculation and design process of surcharge preloading are put forward; (3) The matters needing attention in settlement evaluation, unloading, site checking and calculation, and the impact of surrounding construction environment in future engineering application are pointed out. On the premise of reliable technology and reasonable economy, the requirements of on-time evaluation, unloading and track laying of the subgrade works shall be maximally satisfied. [ABSTRACT FROM AUTHOR]

The eastern Himalayan syntaxis is one of the regions having the most intense tectonic activities, the most complex geological conditions, and the most frequent geohazards in the world. The planning and construction of engineering projects are faced with four types of catastrophic geo-safety risks, including tectonic faulting in the plate tectonic belt, disaster occurrence of the deep-buried tunnels, instability of loose mountains, and regional geological disaster chain. It is a critical topic in the field of engineering geology how to select relatively stable and safe sites in active tectonic zones to minimize the geo-safety risks of planning, construction, and operation of engineering projects. This paper summarized the major geo-safety problems in the eastern Himalayan syntaxis. Accordingly, it revealed that traditional site selection theories hardly satisfy the requirements of the engineering projects in the eastern Himalayan syntaxis area. The site selection encounters geo-safety challenges caused by unclear geological evolution process and construction, prominent disaster risk of tectonic activity and strong earthquake, weak research on the deep tectonic stress field and disaster evaluation, and severe ultra-high-elevation and ultra-long-runout geological disaster chain. Thus, this paper suggested the main research directions of the site selection from five aspects: (1) regional geological evolution and engineering geological problems, (2) active fault and engineering safety risk, (3) complex in-situ stress field and engineering disaster risk, (4) engineering risk of regional geological disaster chain, and (5) theory and method of site selection in eastern Himalayan syntaxis. This paper provides ideas for improving the risk assessment and prevention methods of site selection of engineering projects. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As an emerging intelligent construction technique, three-dimensional (3D) printing technology can improve the utilization rate of building materials, reduce labor costs and shorten the construction period. However, in traditional 3D printing, large-size 3D print machines, restricted print sizes of structural components and unstable printing quality limit its application in construction engineering. This paper proposes a mobile 3D printing technique for construction engineering. In this technique, a mobile 3D printing construction robot (M3DPC-Rob) is developed that takes advantage of a movable platform and flexible mechanical arm to cover the printing range of ordinary residential buildings. In order to locate the robot accurately in outdoor environments, an outdoor positioning and navigation method based on reflective columns is proposed. Furthermore, a quality control process is developed and modified to improve the quality of the printed line width. The results of a case study reveal that the outdoor navigation and printing quality control techniques of M3DPC-Rob show sufficient and steady accuracy that meet the requirements of construction engineering. [ABSTRACT FROM AUTHOR]

This work aims to propose a customized, open-source data model for supporting an integrated process of Requirements and Configuration Management that allows for keeping track of which requirement originated each part, subsystem and system-- and vice versa--, over their entire life cycle. That model might prospectively contribute to the processes of Aeronautical Engineering design and Continued Airworthiness in organizations that do not want either to invest in complex existing commercial, proprietary software packages or to train their professionals for that purpose. The complete source code of the model is provided in Python and SQL languages. [ABSTRACT FROM AUTHOR]

Effective stakeholder interviewing is a critical component of a design process. However, interviewing is a complex skill that is difficult for novice designers to learn and incorporate into their design practices. Few studies have investigated how novice designers apply recommended practices for interviewing stakeholders during the development of product requirements. In this research, we studied how novice designers elicited information to inform the development of product requirements during stakeholder interviews. Results included the establishment of a coding methodology developed from a systematic literature review of recommended interviewing practices that was used to reliably evaluate the use of recommended practices in novice designers' interviews.A correlation existed between the use of recommended practices and the extent to which information gathered frominterviews was incorporated into the requirements. Additionally, specific recommended practices, such as encouraging deep thinking and being flexible and opportunistic, differentiated performance among novice designers. The coding methodology could be adapted to guide the development of stakeholder interview protocols and assessment of design interview skills. [ABSTRACT FROM AUTHOR]

Viewpoints-based requirements engineering is an active area of research. This paper provides a critical evaluation of a particular technique for the early validation of requirements using viewpoints. The technique is limited to the syntactic analysis of requirements and lacks a conflict resolution strategy. This paper describes an approach to the very early validation of requirements based on learning about the viewpoints and building models of their behaviour. The method is a collection of domain-independent heuristics to build internal models of the viewpoints that record their performance in providing information, assessing information, and resolving conflicts between viewpoints. [ABSTRACT FROM AUTHOR]

Software crowdsourcing (SW CS) is an evolving software development paradigm, in which crowds of people are asked to solve various problems through an open call (with the encouragement of prizes for the top solutions). Because of its dynamic nature, SW CS has been progressively accepted and adopted in the software industry. However, issues pertinent to the understanding of requirements among crowds of people and requirements engineers are yet to be clarified and explained. If the requirements are not clear to the development team, it has a significant effect on the quality of the software product. This study aims to identify the potential challenges faced by requirements engineers when conducting the SW-CS based requirements engineering (RE) process. Moreover, solutions to overcome these challenges are also identified. Qualitative data analysis is performed on the interview data collected from software industry professionals. Consequently, 20 SW-CS based RE challenges and their subsequent proposed solutions are devised, which are further grouped under seven categories. This study is beneficial for academicians, researchers and practitioners by providing detailed SW-CS based RE challenges and subsequent solutions that could eventually guide them to understand and effectively implement RE in SW CS. [ABSTRACT FROM AUTHOR]

Machine Learning (ML) is ubiquitously on the advance. Like many domains, Earth Observation (EO) also increasingly relies on ML applications, where ML methods are applied to process vast amounts of heterogeneous and continuous data streams to answer socially and environmentally relevant questions. However, developing such ML- based EO systems remains challenging: Development processes and employed workflows are often barely structured and poorly reported. The application of ML methods and techniques is considered to be opaque and the lack of transparency is contradictory to the responsible development of ML-based EO applications. To improve this situation a better understanding of the current practices and engineering-related challenges in developing ML-based EO applications is required. In this paper, we report observations from an exploratory study where five experts shared their view on ML engineering in semi-structured interviews. We analysed these interviews with coding techniques as often applied in the domain of empirical software engineering. The interviews provide informative insights into the practical development of ML applications and reveal several engineering challenges. In addition, interviewees participated in a novel workflow sketching task, which provided a tangible reflection of implicit processes. Overall, the results confirm a gap between theoretical conceptions and real practices in ML development even though workflows were sketched abstractly as textbook-like. The results pave the way for a large-scale investigation on requirements for ML engineering in EO. [ABSTRACT FROM AUTHOR]

Blasting engineering is a very comprehensive and practical curriculum. However, the traditional method of teaching this curriculum is relatively simple and emphasizes theory teaching over practice teaching, the introduction of classical methods over the expansion of new methods, and the training of individual abilities over the cultivation of team spirit. To address these problems, a new project-driven teaching method based on the concept of outcomesbased education (OBE) certified by the engineering education specialty was explored in this study. The teaching goals were determined based on the index points of the graduation requirements for mining engineering majors. The teaching process was divided into four stages, namely, project investigation and analysis, project parameter design, project report evaluation, and project display and feedback. The special subject on the deep-hole bench blasting scheme of an open-pit mine was taken as an example to explore the related work that needs to be completed by students in different phases and the related abilities and qualities that need cultivation. Lastly, the limitations in the ability training of students in the teaching process were continuously improved through an evaluation and feedback of teaching quality. Results of a four-year teaching practice show that the OBE-based project-driven teaching method not only effectively overcomes the drawbacks of the traditional teaching method but also effectively improves the comprehensive abilities and qualities of students. [ABSTRACT FROM AUTHOR]

The purpose of the present study was to identify the customer requirements and engineering attribute expectations of an innovative product to which a Kano's model and quality function deployment (QFD) analysis was applied. In order to accomplish the research, a new water filling machine design was used as the case study. This alternative machine was aimed at making life more convenient and to support people interested in small businesses, since a Do-It-Yourself (DIY) filling machine saved production costs. This research began by classifying the obtained answers from questionnaires into groups. We then conducted a statistical analysis on potential users. The number of elements of the customer requirements was 11 and the number of engineering attributes expected was 5. The customer requirements of the innovated automatic filling machine was quickly identified. The machine, therefore, was designed and evaluated according to the considerations and relationships between customer requirements and engineering characteristics, where the cost and the machining capacity were considered important factors in the analysis. [ABSTRACT FROM AUTHOR]

Copyright of Oil Drilling & Production Technology / Shiyou Zuancai Gongyi is the property of Shiyou Zuancai Gongyi Bianjibu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Canadian Journal for the Scholarship of Teaching & Learning is the property of Society for Teaching & Learning in Higher Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aim of this research study was to assess Agile RE practices in the South African software development industry and investigate secure Agile RE initiatives towards developing secure products. This qualitative research study was contextualized in seventeen South African software development companies. The researchers used structured interviews and document reviews as the primary data collection instruments. Qualitative data was analyzed inductively using content analysis. Emanating from the research were recommendations to guide a regular software developer on good Agile RE practices. The study concluded that although Agile Software Development is practiced in the South African software industry, there needs to be stricter adherences to the Agile Manifesto and Agile Security Manifesto in requirements engineering. [ABSTRACT FROM AUTHOR]

Aim: This study aims to evaluate the efficiency of the achievement degree for engineering education certification, example as pharmaceutical separation engineering course. The calculating method of achievement degree about graduation requirement in engineering education certification in colleges and universities was introduced in this paper. Materials and Methods: A total 53 students were selected from the exam of pharmaceutical separation engineering course and the total score of the exam is 100. Among them, objective total score: 70, subjective total score: 30. The calculation of course achievement degree is realized by Excel tool. Results: In order to make the evaluation process of achievement degree more reasonable, not only the graduation requirements and course achievement degree were calculated with Excel and statistical analysis and graphical analysis on the calculation results of course achievement degree were made, but also the achievement of course objectives and existing problems were analyzed and evaluated. For the students who need to pay attention to, it is necessary to analyze whether there are any problems that deviate from the focus and other problems in course learning, so as to help them overcome the problems in the follow-up study. Conclusion: This method is really student-centered and provides necessary information for teachers to revise and improve the teaching of courses at any time. [ABSTRACT FROM AUTHOR]

Requirements analysis is the first phase of software development process and it is one of the main concerns of software engineers. The selection of requirements is a complex problem caused by the heterogeneity of the users and their varied interests and demands. In this paper, it is justified that their is a strong need of optimization in requirement analysis. The paper argues that requirement selection can be viewed as an application area of Search-Based Software Engineering(SBSE). The aim is to justify the claim that requirement engineering can be re-formulated as search problem to which meta-heuristic technique can be applied. [ABSTRACT FROM AUTHOR]

Functional safety standards such as IEC 61508 and ISO 26262 advocate a particularly stringent requirements engineering where safety requirements must be structured in a hierarchical manner and specified in accordance with the system architecture. In contrast to the stringent requirements engineering in functional safety standards, according to previous studies, requirements engineering in industry is in general of poor quality. Contracts theory has been previously shown to be suitable for supporting such a stringent requirements engineering effort; this support has also been implemented in tools. However, to use these contract-based tools, requirements must be formalized, which is a major challenge in industry. Therefore, to support current industrial requirements engineering practice and the stringent requirements engineering in functional safety standards, it is shown how tool support can be provided even when requirements, and also architectures, are not formalized. This is achieved by enforcing syntactic, yet formal, conditions in contracts theory. Despite the need for further validation, initial findings in an industrial case study indicate high potential in realizing the proposed support in an industrial setting. [ABSTRACT FROM AUTHOR]

Engineers require new tools to meet the challenges of increasing system complexity, and visualization tools may present promising solutions to enhancing an individual’s ability to analyze highly complex systems. Integrating visualization could provide managers with the opportunity to influence change early, minimizing cost and schedule impacts. This article provides an empirical evaluation of the potential impact that implementing requirements visualization tools can have on projects. The study, based on a sampling of 145 subjects, compares participants’ ability to recognize relationships expressed in traditional requirements format versus integrating a visualization format. The study’s results indicate significant improvement with graphical format employment. [ABSTRACT FROM AUTHOR]

Transparency is a requirement that denotes the communication of information that should help audience to take informed decisions. The existing research on transparency in information systems usually focuses on the party who provides transparency and its inter-relation with other requirements such as privacy, security and regulatory requirements. Engineering transparency, however, also requires the analysis of the information receivers’ situation and their transparency requirements and the medium used to communicate and present the information. A holistic consideration of transparency will enhance its management and increase its usefulness. In this paper, we provide a novel engineering framework, consisting of a modelling language and nine analytical reasonings, which is meant to represent transparency requirements and detect a set of possible side-effects. Examples of such detections include detecting information overload, information starvation, and transparency leading to biased decisions. We then evaluate the modelling language through a case study and report the results. [ABSTRACT FROM AUTHOR]

The quality of requirements is typically considered as an important factor for the quality of the end product. For traditional up-front requirements specifications, a number of standards have been defined on what constitutes good quality : Requirements should be complete, unambiguous, specific, time-bounded, consistent, etc. For agile requirements specifications, no new standards have been defined yet, and it is not clear yet whether traditional quality criteria still apply. To investigate what quality criteria for assessing the correctness of written agile requirements exist, we have conducted a systematic literature review. The review resulted in a list of 16 selected papers on this topic. These selected papers describe 28 different quality criteria for agile requirements specifications. We categorize and analyze these criteria and compare them with those from traditional requirements engineering. We discuss findings from the 16 papers in the form of recommendations for practitioners on quality assessment of agile requirements. At the same time, we indicate the open points in the form of a research agenda for researchers working on this topic. [ABSTRACT FROM AUTHOR]

Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, and Apple have provided a suite of recent guidelines to assist engineering teams in building human-centered AI systems. The practices currently adopted by practitioners for developing such systems, especially during Requirements Engineering (RE), are little studied and reported to date. This paper presents the results of a survey conducted to understand current industry practices in RE for AI (RE4AI) and to determine which key human-centered AI guidelines should be followed. Our survey is based on mapping existing industrial guidelines, best practices, and efforts in the literature. We surveyed 29 professionals and found most participants agreed that all the human-centered aspects we mapped should be addressed in RE. Further, we found that most participants were using UML or Microsoft Office to present requirements. We identify that most of the tools currently used are not equipped to manage AI-based software, and the use of UML and Office may pose issues with the quality of requirements captured for AI. Also, all human-centered practices mapped from the guidelines should be included in RE. • Human-centered AI guidelines be included in Requirements Engineering. • Industry practices use tools that do not enforce Requirements Engineering for AI. • Practices use modeling that are not suited for modeling requirements for AI. • There are gaps between research and practices in Requirements Engineering for AI. • No evident studies focus on feedback or errors in Requirements Engineering for AI. [ABSTRACT FROM AUTHOR]

Information systems (IS) are a key enabler to improve effectiveness and efficiency in the public sector. The realization of large IS projects, however, still remains a challenge in public administrations. One reason is that the complex task of IT governance in federal structures requires contributions from a large number of stakeholders. To address this challenge, we conducted Action Design Research in cooperation with different institutions of the German labor market and developed a requirements engineering process with a corresponding IT governance in the public sector that takes complex federal structures into account. The process was successfully implemented at the German Federal Employment Agency and proved valuable to deal with 146 municipal requirements regarding an IS in the context of unemployment benefits. Moreover, we derived four general success factors with a special attention on the interleaving of requirements engineering process and IT governance. [ABSTRACT FROM AUTHOR]