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Article Citation - WoS: 22Citation - Scopus: 31Organizational Issues in Embracing Agile Methods: an Empirical Assessment(Springer india, 2021) Mishra, Alok; Abdalhamid, Samia; Mishra, Deepti; Ostrovska, SofiyaThis study provides empirical evidence to the body of knowledge in Agile methods adoption in small, medium and large organizations in international context. This research explores the factors involved in the adoption of Agile methods in software development organizations. A survey was conducted among Agile professionals to gather survey data from 52 software organizations in seven countries across the world. Statistical techniques are applied towards empirical assessment. Organizational culture, team structure and management support are found to be crucial success factors whereas lack of management support, a large organization size and traditional organizational culture are found to be detrimental for the adoption of Agile approach in an organization. The selection of an appropriate Agile method depends on the project size and, for each size, there are specific methods preferred by different enterprises. Providing better control over the work is viewed as the primary advantage of the Agile methods within large and small organizations, while for the medium-size organizations, the priority is switched to coping with changing user requirements. Majority of the respondents did not consider embracing agile methods as a reason for project failure which indicates that Agile methods are, indeed, beneficial.Article Citation - WoS: 7Citation - Scopus: 8A Global Software Inspection Process for Distributed Software Development(Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2012) Mishra, Deepti; Mishra, Alok; Computer Engineering; Software EngineeringGlobally distributed software development is an established trend towards delivering high-quality software to global users at lower costs. The main expected benefits from distributed software development are improvements in development time efficiency, being close to the customers and having flexible access to greater and less costly resources. Organizations require to use their existing resources as effectively as possible, and also need to employ resources on a global scale from different sites within the organization and from partner organization throughout the world. However, distributed software development particularly face communication and coordination problems due to spatial, temporal and cultural separation between team members. Ensuring quality issues in such projects is a significant issue. This paper presents global software inspection process in the distributed software development environment towards quality assurance and management.Article Citation - WoS: 29Citation - Scopus: 43Software Product Quality Metrics: a Systematic Mapping Study(Ieee-inst Electrical Electronics Engineers inc, 2021) Colakoglu, Fatima Nur; Yazici, Ali; Mishra, AlokIn the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics.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.Review Citation - WoS: 70Citation - Scopus: 111Devops and Software Quality: a Systematic Mapping(Elsevier, 2020) Mishra, Alok; Otaiwi, ZiadoonQuality pressure is one of the factors affecting processes for software development in its various stages. DevOps is one of the proposed solutions to such pressure. The primary focus of DevOps is to increase the deployment speed, frequency and quality. DevOps is a mixture of different developments and operations to its multitudinous ramifications in software development industries, DevOps have attracted the interest of many researchers. There are considerable literature surveys on this critical innovation in software development, yet, little attention has been given to DevOps impact on software quality. This research is aimed at analyzing the implications of DevOps features on software quality. DevOps can also be referred to a change in organization cultures aimed at removal of gaps between the development and operations of an organization. The adoption of DevOps in an organization provides many benefits including quality but also brings challenges to an organization. This study presents systematic mapping of the impact of DevOps on software quality. The results of this study provide a better understanding of DevOps on software quality for both professionals and researchers working in this area. The study shows research was mainly focused in automation, culture, continuous delivery, fast feedback of DevOps. There is need of further research in many areas of DevOps (for instance: measurement, development of metrics of different stages to assess its performance, culture, practices toward ensuring quality assurance, and quality factors such as usability, efficiency, software maintainability and portability). (C) 2020 The Author(s). Published by Elsevier Inc.
