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This paper presents a systematic literature review of agile software development at decision making method for requirement engineering. Presently, agile software development method is operated to cope with requirements that changes dynamically. This study seeks to find out and discuss what types of method that have been exploited for decision making on managing feasible requirements and challenges of decision making in agile software development. Papers reviewed in this study are published from 2017 to present. Resulting 8 papers that have been identified of presenting decision making methods. Using these papers, 11 methods and 7 challenges of decision making identified. This study contributes a review of requirement management and engineering by providing decision making methods on agile software development and the challenges of decision making for requirement engineering. [ABSTRACT FROM AUTHOR]

Data visualization and decision-making are critical aspects of infrastructure inspections. Numerous research efforts have been made to develop practical remote inspection systems that overcome the limitations of conventional inspection methods. Although the integration of Immersive Virtual Reality (IVR) into remote inspection is currently being addressed, most IVR frameworks have focused on data accuracy and there has been a lack of research on developing human-centered IVR frameworks through usability evaluation. This paper addresses this limitation by proposing a new IVR development framework utilizing agile User Experience (UX) design techniques, which can be implemented in remote infrastructure inspections for data visualization and decision-making. Usability tests were conducted through a case study with 22 participants, using an IVR prototype developed in accordance with this framework. Following its implementation, the framework demonstrated its ability to identify damage via remote bridge inspection and achieved acceptable usability. Future research can build on the framework for semantic enrichment tasks. [ABSTRACT FROM AUTHOR]

With the rise of agile development notion, software test automation is widely adopted by software organizations to reduce the testing time and costs during the software development process. However, it is essential to carefully implement the test automation to ensure the project's success. In the literature, several studies have indicated that decision-making is crucial for the adoption of test automation. For deciding about test automation adoption, several factors, including the skill level of testers, test tool, and development process, need to be considered since automated testing performance heavily depends on the mentioned factors and their interactions. Thus, it is of vital importance to ascertain the factors that influence test automation in the context of Agile-based Software Development (ASD). To accomplish this, we perform a systematic literature review and a questionnaire-based survey. In total, 21 factors are identified that significantly impact test automation in the ASD context. Additionally, the identified factors are categorized into five main classes. Following the identified factors' assessment, this work proposes a conceptual model that supports agile practitioners in deciding about the adoption of test automation in the context of ASD. Finally, this work validates the proposed model to assess its practical applicability. The validation of the proposed model is accomplished by using an expert-based validation approach. The attained results show that the proposed model supports agile practitioners in estimating the possibility of success when implementing test automation in the ASD context. [ABSTRACT FROM AUTHOR]

Recent years have seen an increasing number of spatial tools and technologies for enabling better decision-making in the urban environment. They have largely arisen because of the need for cities to be more efficiently planned to accommodate growing populations while mitigating urban sprawl, and also because of innovations in rendering data in 3D being well suited for visualising the urban built environment. In this paper we review a number of systems that are better known and more commonly used in the field of urban planning. We then introduce Envision Scenario Planner (ESP), a web-based 3D precinct geodesign, visualisation and assessment tool, developed using Agile and Co-design methods. We provide a comprehensive account of the tool, beginning with a discussion of its design and development process and concluding with an example use case and a discussion of the lessons learned in its development. [ABSTRACT FROM AUTHOR]

• Lean start-up approaches include a business model canvas and two development types. • The research evolves the business model canvas to manage customer segments. • The new business model iterative canvas enhances lean start-up operations. • Ventures addressing multiple customer groups and products can improve uncertainty. Lean Startup Approaches (LSAs) consist of Business Model Canvas (BMC), Customer Development (CD) and Agile Development (AD), which are lauded for their pragmatic approach to entrepreneurial problem solving and decision making. Based on the long-term practice of LSAs, it is found that LSAs have the limitations of "multi-customer" and "multi-product", which inhibits the iterative function of BMC, thus restricting the deep integration of BMC, CD and AD. We conducted the business experiment method to optimize LSAs. First, the business model iteration canvas (BMIC) is innovatively designed to restore the iterative function of the canvas; secondly, the customer insight is organically implanted into the canvas to improve the business insight of LSAs; thirdly, given an advanced LSAs framework and model, entrepreneurs need to quickly iterate their business model through "single customer group, single product", and then return to the real scene through customer group management and product management. [ABSTRACT FROM AUTHOR]

Abstract: Environmentally extended multi-regional input–output (EE-MRIO) models provide us with a wealth of data relating to consumption-based environmental impacts at a national level. The results can identify the categories of consumption and sectors of production that contribute most to environmental impact allowing policy makers to prioritise intervention into particular areas. However, these data are not readily accessible to policy makers and civil society, making it difficult to extract and communicate the important messages it contains. The web-based tool — EUREAPA — was created as a usable, task-oriented interface to improve access to environmental and economic data held within a complex EE-MRIO model and make it more relevant to policy makers and civil society. The project team of scientists and IT specialists used an iterative, agile and participatory approach to engage potential end-users in the specification and testing of the tool. The engagement process identified two principal functions that were essential for the EUREAPA tool: viewing data and creating scenarios. The viewing data function allows users to analyse the wealth of data held within the model and present results from a range of perspectives. This helps to understand the causes of environmental pressure and identify priorities for policy intervention. The scenario function helps to communicate how changes in consumption and production might affect the future environmental impact of citizens of the EU, and facilitates long-term planning. Through this dialogue process the project has been able to ensure EUREAPA is relevant, user-friendly and fit-for-purpose. It is intended that EUREAPA will be adopted by policy makers and civil society as an important policy planning and assessment aid in the complex field of sustainable consumption and production. [Copyright &y& Elsevier]

Abstract: The demands in the software industry of estimating development effort in the early phases of development are met by measuring software size from user requirements. A large number of companies have adapted themselves with Agile processes, which, although, promise rapid software development, pose a huge burden on the development teams for continual decision making and expert judgement, when estimating the size of the software components to be developed at each iteration. COSMIC, on the other hand, is an ISO/IEC international standard that presents an objective method of measuring the functional size of the software from user requirements. However, its measurement process is not compatible with Agile processes, as COSMIC requires user requirements to be formalised and decomposed at a level of granularity where external interactions with the system are visible to the human measurer. This time-consuming task is avoided by agile processes, leaving it with the only option of quick subjective judgement by human measurers for size measurement that often tends to be erroneous. In this article, we address these issues by presenting an approach to approximate COSMIC functional size from informally written textual requirements demonstrating its applicability in popular agile processes. We also discuss the results of a preliminary experiment studying the feasibility of automating our approach using supervised text mining. [Copyright &y& Elsevier]

[Display omitted] • Co-production and agile software development methods were used to create a video-game based DSS. • The DSS was developed and applied in workshops for the design of multifunctional open space. • Co-production with residents can result in improved processes and outcomes. • Residents required additional information to orient themselves in the DSS. • Realism and DSS ease of use contribute to dialogue during co-design sessions. Collaborative processes of co-production between end-users and designers can be an effective means to produce shared understanding about a system and has been shown to improve the quality of, and support for, design outcomes. In spatial design and planning, co-production usually involves engaging community members in the design and planning of their local environment (co-design). However, to support co-design of landscapes it has been recommended that decision support systems (DSS) be developed for both the specific decision setting, and in conjunction with meaningful public guidance and input, to transition professional practice to working with rather than for the public. The research presented here responds to these recommendations by developing and evaluating a process for involving end user residents in the co-production and application of the Land.Info DSS in the design of multifunctional landscapes within their communities. The research used participatory workshops incorporating a structured elicitation process, agile software development, and user evaluation to design and test a video game-based DSS in context of two real-world design settings in Detroit, MI, USA. In this paper, we describe and evaluate the process and outcomes, with the results showing improved evaluation over the course of development and overall positive outcomes from this type of collaboration. We also found that residents required additional information to orient themselves in the DSS. In addition, visualization realism and ease of use of the DSS contributing to dialogue during co-design sessions. The paper ends with recommendations for future development and research. [ABSTRACT FROM AUTHOR]

• Evidence-based decision making for Quality Requirements management. • Product quality assessment visualization. • Prediction and what-if analysis supporting quality management processes. Software and data analytics solutions support improving development processes and the quality of the software produced in Agile Software Development (ASD). However, decision makers in software teams (e.g., product owner, project manager) are demanding powerful tools providing evidence data that support their strategic decision-making processes. In this paper, we present and provide access to QaSD, a Quality-aware Strategic Dashboard supporting decision makers in ASD. The dashboard allows decision makers to define high-level strategic indicators (e.g., customer satisfaction, process performance) related to software quality and to measure, explore, simulate and forecast the values of those indicators in order to explain and justify their decisions. Moreover, we also provide the results of a conducted evaluation of the dashboard quality in a real environment that evaluated the QaSD as usable, easy to use, with good navigation, and reliable. [ABSTRACT FROM AUTHOR]