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Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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 Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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.)

Model-driven engineering (MDE) and aspect-oriented software development (AOSD) contribute to the common goal of development of high-quality code in reduced time. To complement each approach with the benefits of the other, various methods of integration of the two approaches were proposed in the past. Aspect-oriented code generation, which targets obtaining aspect-oriented code directly from aspect models, offers some unique advantages over the other integration approaches. However, the existing aspect-oriented code generation approaches do not comprehensively address all aspects of a model-driven code generation system, such as a textual representation of graphical models, conceptual mapping, and incorporation of behavioral diagrams. These problems limit the worth of generated code, especially in practical use. Here, we propose AJFCode, an approach for aspect-oriented modeldriven code generation, which comprehensively addresses the various aspects including the graphical models and their text-based representation, mapping between visual model elements and code, and the behavioral code generation. Experiments are conducted to compare the maintainability and reusability characteristics of the aspect-oriented code generated using the AJFCode with the most comprehensive object-oriented code generation approach. AJFCode performs well in terms of all metrics related to maintainability and reusability of code. However, the most significant improvement is noticed in the separation of concerns, coupling, and cohesion. For instance, AJFCode yields significant improvement in concern diffusion over operations (19 vs 51), coupling between components (0 vs 6), and lack of cohesion in operations (5 vs 9) for one of the experimented concerns. [ABSTRACT FROM AUTHOR]

Digital literacy is becoming a key factor in today's digital revolution age. Computational Thinking (CT) is a new digital literacy that is gradually being introduced in the school curriculum due to its applicability in the daily problem-solving process. Educational Robotics (ER) has been increasingly used as a pedagogical tool to attract students to learn computer programming, and when integrated with CT, they can be used to develop high order thinking skills. However, intertwining between CT and ER remains a challenge for teachers. This paper describes a method to expose secondary school children to CT concepts and skills through ER learning activities. The method integrates the four CT core concepts, which are problem analysis and algorithm; abstraction; pattern recognition; and decomposition, in a two days' ER workshop implementation. The result of the study shows that the method of integrating CT with ER has the potential to nurture students' CT and programming skills. This study shows a statistically significant increase in the students' understanding of the two CT concepts which are pattern recognition and decomposition concepts. [ABSTRACT FROM AUTHOR]

Introduction: A robotic wheelchair system enables people with disabilities and elderly people who are unable to operate traditional wheelchairs to move around. Advances in computer and software technologies have contributed to the provision of robotic wheelchairs and its tracking system to suit the needs of the healthcare sector. Developing a quality software system requirements specification and performing testing on the requirements are critical as the users involve patients who suffer musculoskeletal disorders. Methods: This research paper presents a robotic wheelchair and its software system requirements; a testing environment; and a requirements-based testing strategy to ensure the software system comply with the requirements including the functional and technological constraints of the wheelchair system. Results: The testing strategy was implemented to calculate Average Percentage of Faults Detected (APFD) and the result quantify 92.19% APFD rates of fault detection with 92.19%. This result delivers an effectively improving test coverage. Conclusion: The proposed testing environment and the requirements-based testing strategy enable requirements testing to be conducted from the very beginning of the software development life cycle. [ABSTRACT FROM AUTHOR]

Computational thinking (CT) is useful in the daily problemsolving process while educational robotic (ER) is well known as a pedagogical tool in attracting students to learn more in problem-solving activities. Both subjects are widely used for formal learning and informal learning regardless of the age and gender of the learners. However, there is a lack of studies in integrating CT into ER and both have big dimensions in learning and teaching. Thus, nurturing CT through ER remains a challenge. This study focuses on designing a conceptual model of the integration between CT and ER. Qualitative analysis is done for this research where grounded theory analysis (GTA) is used to analyze CT and ER from various sources such as literature, book, and survey to make the model more relevant and fit to the education. The finding represents a final conceptual model which has been evaluated by the expert. The final conceptual model detailed the relationship between CT and ER besides giving benefits to the community who are planning, designing, or revising a new framework or platform in nurturing CT through ER. [ABSTRACT FROM AUTHOR]

Computational thinking (CT) skills are necessary to prepare students for the demands and challenges of the modern era. Students require an incentive to acquire any new skill. This can be accomplished by employing gamification, which has been widely used in educational environments and instructional practices to improve student engagement and motivation by including game elements. However, delivering CT to students through gamification is challenging. There is a lack of studies on integrating gamification into CT, especially when it comes to considering student preferences such as learning styles. Besides, according to the reviews, the existing adaptive frameworks do not directly incorporate gamification and CT into education. Therefore, the author proposed an adaptive gamified framework that supports adaptive features based on students' dimensions (verbal, visual) using the Felder-Silverman Learning Style Model (FSLSM) to foster CT skills and enhance students' motivation and performance using a modified version of the Moodle platform that supports adaptive learning features. The proposed framework integrates an "adaptive gamification framework" with the "student-centered framework" by adopting the available gamification elements in the "student-centered framework". Additionally, it matches the results with the proposed conceptual model that investigates the relationship between gamification and CT in the field of education to provide adaptive gamification and learning features. Furthermore, the results of the work indicated that the use of gamification had a positive impact on students in terms of motivation and performance, as the game elements contributed to increasing children's desire to retake the tests and thus improved the performance of students. [ABSTRACT FROM AUTHOR]

Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient’s treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain,and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach’s applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems. [ABSTRACT FROM AUTHOR]

The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time. [ABSTRACT FROM AUTHOR]