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Article Citation - WoS: 47Citation - Scopus: 79Empirical Analysis of Change Metrics for Software Fault Prediction(Pergamon-elsevier Science Ltd, 2018) Choudhary, Garvit Rajesh; Kumar, Sandeep; Kumar, Kuldeep; Mishra, Alok; Catal, CagatayA quality assurance activity, known as software fault prediction, can reduce development costs arid improve software quality. The objective of this study is to investigate change metrics in conjunction with code metrics to improve the performance of fault prediction models. Experimental studies are performed on different versions of Eclipse projects and change metrics are extracted from the GIT repositories. In addition to the existing change metrics, several new change metrics are defined and collected from the Eclipse project repository. Machine learning algorithms are applied in conjunction with the change and source code metrics to build fault prediction models. The classification model with new change metrics performs better than the models using existing change metrics. In this work, the experimental results demonstrate that change metrics have a positive impact on the performance of fault prediction models, and high-performance models can be built with several change metrics. (C) 2018 Elsevier Ltd. All rights reserved.Article Citation - WoS: 10Citation - Scopus: 15Software Quality Issues in SCRUM: A Systematic Mapping(Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2018) Mishra, Deepti; Abdalhamid, Samia; Computer EngineeringScrum is a process framework used to develop complex software. As Scrum is one of the prominent approaches in agile development projects, it is significant to define the issues of quality in the Scrum method. In this paper, a systematic mapping approach is adopted to answer specific research questions through an objective procedure to identify the nature of quality issues in Scrum studies. For this purpose, a number of research studies are reviewed in electronic databases to find out about various quality issues related with Scrum. Here, the focus is on how these studies are affective in terms of defining such issues. A total of 53 research papers are examined in detail to answer nine research questions related to quality issues in Scrum. Finally, the responses to all research questions are provided along with suggestions to ensure quality in the Scrum. The results reveal that there is very limited research on people-related quality issues such as employee skills, satisfaction etc. However, process quality such as process effectiveness, conformity, visibility, acceptance etc. have received a lot of attention among researchers, whereas the product quality and project-related quality issues such as team performance, collaboration, etc. are also of interest among researchers.Article Citation - WoS: 2Citation - Scopus: 5Measuring Project and Quality Aspects in Agile Software Development(Drunpp-sarajevo, 2012) Mishra, Deepti; Balcioglu, Eda; Mishra, Alok; Computer Engineering; Software EngineeringConstructivism is a cognitive theory that emphasizes that learners construct new knowledge by rearranging and refining their existing knowledge. Agile :software development methods follows this approach of learning as software is developed in short iterations and agile team incorporated all new knowledge gained through feedbacks from preceeding iterations. Agile software development methods are different from traditional software development methods and therefore, metrics proposed for projects using traditional software development methods are not fit to use in agile software development projects. In this paper, new metrics are proposed that can measure the progress and quality of the Product in agile software development projects. The proposed metrics are also compared with existing agile metrics.
