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Article Citation - WoS: 2Citation - Scopus: 4Mobile Application Software Requirements Specification From Consumption Values(Mdpi, 2023) Derawi, Mohammad; Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz ErcilIn today's society, mobile applications are becoming more popular and providing several advantages. However, users will resist using a product regardless of how well-tested or solid it is if the wrong requirements are implemented. Understanding the factors that influence the purchase of mobile applications can provide useful information for mobile application design and development. Hence, the purpose of this research is to better understand the impact of consumption values on customers in order to identify the software requirements for a mobile application. This study analyzes the possible behavioral changes of similar groups of university students in a five-year period. For this purpose, a questionnaire is administered to engineering faculty students in 2017 (46 females and 66 males) and 2021 (45 females and 90 males) to better understand customer behavioral changes. The findings highlight the significance of conditional value in customer behavior when purchasing mobile applications. Even though the other consumption values were found to have a negligible effect, there is some evidence indicating that the impact of consumption values on different target customer groups may vary considering their gender and familiarity with apps. Further research needs to be conducted to better understand the possible impact of age, cultural differences, education levels, and special considerations such as visually impaired people. Therefore, this study encourages mobile application designers and developers to raise awareness for the effect of consumption values such as conditional value on their customers' mobile application purchasing behaviors. The possible impact of the consumption values needs to be deeply understood, specifically for the target customer groups, and it should be considered in the software requirements specification (SRS), which is one of the important principles that allow software under consideration for development to function. As a result, a better understanding of consumption values will help developers design and develop better applications by specifying software requirements and marketing strategies.Article Citation - WoS: 11Citation - Scopus: 12Estimating Quality of Javascript(Zarka Private Univ, 2012) Misra, Sanjay; Cafer, Ferid; Computer EngineeringThis paper proposes a complexity metric for Java script since JavaScript is the most popular scripting language that can run in all of the major web browsers. The proposed metric "JavaScript Cognitive Complexity Measure (JCCM)" is intended to assess the design quality of scripts. The metrics has been evaluated theoretically and validated empirically through real test cases. The metric has also been compared with other similar metrics. The theoretical, empirical validation and comparative study prove the worth and robustness of the metric.Conference Object Citation - WoS: 12Software Process Improvement Methodologies for Small and Medium Enterprises(Springer-verlag Berlin, 2008) Mishra, Deepti; Mishra, AlokToday, the software industry is one of the most rapidly growing sectors and small software development companies play an important role in economy. Many such organizations have been interested in Software Process Improvement (SPI). It has been observed that the successful implementation of SPI methodologies is generally not possible within the context of small and medium-sized software enterprises (SMEs) because they are not capable of bearing the cost of implementing these software process improvement programs. Further the proper implementation of software engineering techniques is difficult task for SMEs as they often operate on limited resources and with strict time constraints. There are number of methodologies to address these issues. In this paper, various SPI methodologies for SMEs are discussed and compared. This will lead towards maturity of software process improvement in SMEs and also facilitates in development of automation tools for SPIs in future.Conference Object Citation - Scopus: 37Influence of Human Factors in Software Quality and Productivity(2011) Fernández-Sanz,L.; Misra,S.Traditionally more effort has been devoted to technical and process aspects of software quality and productivity. However, in an activity like software development so intensive in workforce and so dependent on professionals' performance, it is strange that human and social factors affecting development teams have been attracted little attention. This paper is aimed at analyzing contributions in this area as well as providing empirical data from specific initiatives to know more about real practices and situation in software organizations. © 2011 Springer-Verlag.Conference Object Citation - WoS: 29Influence of Human Factors in Software Quality and Productivity(Springer-verlag Berlin, 2011) Fernandez-Sanz, Luis; Misra, SanjayTraditionally more effort has been devoted to technical and process aspects of software quality and productivity. However, in an activity like software development so intensive in workforce and so dependent on professionals' performance, it is strange that human and social factors affecting development teams have been attracted little attention. This paper is aimed at analyzing contributions in this area as well as providing empirical data from specific initiatives to know more about real practices and situation in software organizations.Article Citation - WoS: 29Citation - Scopus: 40Software Code Smell Prediction Model Using Shannon, Renyi and Tsallis Entropies(Mdpi, 2018) Gupta, Aakanshi; Suri, Bharti; Kumar, Vijay; Misra, Sanjay; Blazauskas, Tomas; Damasevicius, RobertasThe current era demands high quality software in a limited time period to achieve new goals and heights. To meet user requirements, the source codes undergo frequent modifications which can generate the bad smells in software that deteriorate the quality and reliability of software. Source code of the open source software is easily accessible by any developer, thus frequently modifiable. In this paper, we have proposed a mathematical model to predict the bad smells using the concept of entropy as defined by the Information Theory. Open-source software Apache Abdera is taken into consideration for calculating the bad smells. Bad smells are collected using a detection tool from sub components of the Apache Abdera project, and different measures of entropy (Shannon, Renyi and Tsallis entropy). By applying non-linear regression techniques, the bad smells that can arise in the future versions of software are predicted based on the observed bad smells and entropy measures. The proposed model has been validated using goodness of fit parameters (prediction error, bias, variation, and Root Mean Squared Prediction Error (RMSPE)). The values of model performance statistics (R-2, adjusted R-2, Mean Square Error (MSE) and standard error) also justify the proposed model. We have compared the results of the prediction model with the observed results on real data. The results of the model might be helpful for software development industries and future researchers.Article Citation - WoS: 12Citation - Scopus: 13Techniques for Calculating Software Product Metrics Threshold Values: a Systematic Mapping Study(Mdpi, 2021) Mishra, Alok; Shatnawi, Raed; Catal, Cagatay; Akbulut, AkhanSeveral aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest in research studies that focus on identifying and deriving threshold values is growing, given the advantage of applying software metric threshold values to evaluate various software projects during their software development life cycle phases. The aim of this paper is to systematically investigate research on software metric threshold calculation techniques. In this study, electronic databases were systematically searched for relevant papers; 45 publications were selected based on inclusion/exclusion criteria, and research questions were answered. The results demonstrate the following important characteristics of studies: (a) both empirical and theoretical studies were conducted, a majority of which depends on empirical analysis; (b) the majority of papers apply statistical techniques to derive object-oriented metrics threshold values; (c) Chidamber and Kemerer (CK) metrics were studied in most of the papers, and are widely used to assess the quality of software systems; and (d) there is a considerable number of studies that have not validated metric threshold values in terms of quality attributes. From both the academic and practitioner points of view, the results of this review present a catalog and body of knowledge on metric threshold calculation techniques. The results set new research directions, such as conducting mixed studies on statistical and quality-related studies, studying an extensive number of metrics and studying interactions among metrics, studying more quality attributes, and considering multivariate threshold derivation.Article Citation - WoS: 5A Simplified Model for Software Inspection(Wiley, 2014) Misra, Sanjay; Fernandez, Luis; Colomo-Palacios, RicardoSoftware inspection is considered a cost-effective quality assurance technique in software process improvement. Although inspections detect the majority of defects in the early stages of the development process, this technique is not a common practice in the software industry, especially in small and medium enterprises. In this paper, we propose a model for the inspection process intended to be applicable and acceptable to both small and medium enterprises and large software organisations. The model was implemented in two organisations: one in a medium-scale company and the other one in a department of a big company where its feasibility and benefits were confirmed. A comparison with recent alternative inspection models has also been performed showing the practicality of the proposal and ease of adoption and cost-effectiveness. Copyright (c) 2014 John Wiley & Sons, Ltd.Article Citation - WoS: 29Citation - Scopus: 44Software Process Improvement in Smes: a Comparative View(Comsis Consortium, 2009) Mishra, Deepti; Mishra, AlokThe majority of software development organizations all over the world are small and medium enterprises. These organizations have realized that it is crucial for their business to improve their processes and working methods but they are lacking the knowledge and resources to do it. Successful implementation of SPI methodologies in small and medium-sized software enterprises (SMEs) is generally not possible because such organizations are not capable of investing the cost of implementing these programs. Limited resources and strict deadlines to complete the projects make it further difficult to implement SPI programs which can also affect quality issues in software project. There are various SPI methodologies to address these issues which have been also deployed in these organizations. In this paper, recent and significant SPI methodologies (OWPL, ASPE-MSC, iFLAP, PRISMS, SPM, MESOPYME) for SMEs are compared and discussed. This will facilitate the maturity of software process improvement in SMEs, standardization and also contribute in the development of automation tools for SPIs in future.
