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Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

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Computers, Materials & Continua 2024年第6期79卷 5031-5049页

作者： Marya Iqbal yaser hafeez Nabil Almashfi Amjad Alsirhani Faeiz Alserhani Sadia Ali Mamoona Humayun Muhammad Jamal University Institute of Information Technology PMAS-Arid Agriculture UniversityRawalpindiPakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Engineering&Networks College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72388Saudi Arabia Department of Mathematics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan

Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software ***,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity *** paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of *** the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and ***,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient *** experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in *** digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.

关键词： Machine Learning variability management cybersecurity digital ecosystems cyber-resilience

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Towards Improving the Quality of Requirement and Testing Process in Agile Software Development:An Empirical Study

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Computers, Materials & Continua 2024年第9期80卷 3761-3784页

作者： Irum Ilays yaser hafeez Nabil Almashfi Sadia Ali Mamoona Humayun Muhammad Aqib Ghadah Alwakid University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia School of Arts Humanities and Social Sciences University of RoehamptonLondonSW155PJUK Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia

Software testing is a critical phase due to misconceptions about ambiguities in the requirements during specification,which affect the testing ***,it is difficult to identify all faults in *** requirement changes continuously,it increases the irrelevancy and redundancy during *** to these challenges;fault detection capability decreases and there arises a need to improve the testing process,which is based on changes in requirements *** this research,we have developed a model to resolve testing challenges through requirement prioritization and prediction in an agile-based *** research objective is to identify the most relevant and meaningful requirements through semantic analysis for correct change *** compute the similarity of requirements through case-based reasoning,which predicted the requirements for reuse and restricted to error-based ***,the apriori algorithm mapped out requirement frequency to select relevant test cases based on frequently reused or not reused test cases to increase the fault detection ***,the proposed model was evaluated by conducting *** results showed that requirement redundancy and irrelevancy improved due to semantic analysis,which correctly predicted the requirements,increasing the fault detection rate and resulting in high user *** predicted requirements are mapped into test cases,increasing the fault detection rate after changes to achieve higher user ***,the model improves the redundancy and irrelevancy of requirements by more than 90%compared to other clustering methods and the analytical hierarchical process,achieving an 80%fault detection rate at an earlier ***,it provides guidelines for practitioners and researchers in the modern *** the future,we will provide the working prototype of this model for proof of concept.

关键词： Requirement prediction software testing agile software development semantic analysis case-based reasoning

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Towards Aspect Based Components Integration Framework for Cyber-Physical System

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Computers, Materials & Continua 2022年第1期70卷 653-668页

作者： Sadia Ali yaser hafeez Muhammad Bilal Saqib Saeed Kyung Sup Kwak University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Computer Engineering Hankuk University of Foreign StudiesYongin-si17035Korea Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982DammamSaudi Arabia Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

Cyber-Physical Systems(CPS)comprise interactive computation,networking,and physical *** integrative environment of CPS enables the smart systems to be aware of the surrounding physical *** systems,such as smart health care systems,smart homes,smart transportation,and smart cities,are made up of complex and dynamic *** components integration development approach should be based on the divide and conquer *** way multiple interactive components can reduce the development complexity *** reusability enhances efficiency and consistency in CPS,encapsulation of component functionalities and a well-designed user interface is vital for the better end-user’s Quality of Experience(QoE).Thus,incorrect interaction of interfaces in the cyber-physical system causes system ***,interface failures occur due to false,and ambiguous requirements analysis and ***,to resolve this issue semantic analysis is required for different stakeholders’viewpoint analysis during requirement specification and components *** work proposes a framework to improve the CPS component integration process,starting from requirement specification to prioritization of components for *** semantic analysis and assessing the reusability of specifications,the framework uses text mining and case-based reasoning *** framework has been tested experimentally,and the results show a significant reduction in ambiguity,redundancy,and irrelevancy,as well as increasing accuracy of interface interactions,component selection,and higher user satisfaction.

关键词： Cyber-physical systems component-based development casebased reasoning prioritization requirement management specification text mining

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Role of Fuzzy Approach towards Fault Detection for Distributed Components

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Computers, Materials & Continua 2021年第5期67卷 1979-1996页

作者： yaser hafeez Sadia Ali Nz Jhanjhi Mamoona Humayun Anand Nayyar Mehedi Masud University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan School of Computer Science and Engineering SCETaylor’s UniversitySubang JayaMalaysia Department of Information systems College of Computer and Information SciencesJouf UniversitySaudi Arabia Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Component-based software development is rapidly introducing numerous new paradigms and possibilities to deliver highly customized software in a distributed *** other communication,teamwork,and coordination problems in global software development,the detection of faults is seen as the key ***,there is a need to ensure the reliability of component-based applications *** device detection faults applied to tracked components from various sources and failed to keep track of all the large number of components from different *** this study,we propose an approach for fault detection from componentbased systems requirements using the fuzzy logic approach and historical information during acceptance *** approach identified error-prone components selection for test case extraction and for prioritization of test cases to validate components in acceptance *** the evaluation,we used empirical study,and results depicted that the proposed approach significantly outperforms in component selection and acceptance *** comparison to the conventional procedures,i.e.,requirement criteria,and communication coverage criteria without irrelevancy and redundancy successfully outperform other ***,the F-measures of the proposed approach define the accurate selection of components,and faults identification increases in components using the proposed approach were higher(i.e.,more than 80 percent)than requirement criteria,and code coverage criteria procedures(i.e.,less than 80 percent),***,the rate of fault detection in the proposed approach increases,i.e.,92.80 compared to existing methods i.e.,less than 80 *** proposed approach will provide a comprehensive guideline and roadmap for practitioners and researchers.

关键词： Component-based software selection acceptance testing fault detection

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Mining Software Repository for Cleaning Bugs Using Data Mining Technique

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Computers, Materials & Continua 2021年第10期69卷 873-893页

作者： Nasir Mahmood yaser hafeez Khalid Iqbal Shariq Hussain Muhammad Aqib Muhammad Jamal Oh-Young Song University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Mathematics and Statistics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Sejong UniversitySeoul05006Korea

Despite advances in technological complexity and efforts,software repository maintenance requires reusing the data to reduce the effort and ***,increasing ambiguity,irrelevance,and bugs while extracting similar data during software development generate a large amount of data from those data that reside in ***,there is a need for a repository mining technique for relevant and bug-free data *** paper proposes a fault prediction approach using a data-mining technique to find good predictors for high-quality *** predict errors in mining data,the Apriori algorithm was used to discover association rules by fixing confidence at more than 40%and support at least 30%.The pruning strategy was adopted based on evaluation ***,the rules were extracted from three projects of different domains;the extracted rules were then combined to obtain the most popular rules based on the evaluation measure *** evaluate the proposed approach,we conducted an experimental study to compare the proposed rules with existing ones using four different industrial *** evaluation showed that the results of our proposal are *** and developers can utilize these rules for defect prediction during early software development.

关键词： Fault prediction association rule data mining frequent pattern mining

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Recommender System for Configuration Management Process of Entrepreneurial Software Designing Firms

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Computers, Materials & Continua 2021年第5期67卷 2373-2391页

作者： Muhammad Wajeeh Uz Zaman yaser hafeez Shariq Hussain Haris Anwaar Shunkun Yang Sadia Ali Aaqif Afzaal Abbasi Oh-Young Song University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Electrical Electronics and Telecommunication EngineeringUniversity of Engineering and TechnologyLahore54000Pakistan School of Reliability and Systems Engineering Beihang UniversityBeijing100191China Department of Software Sejong UniversitySeoul05006South Korea

The rapid growth in software demand incentivizes software development organizations to develop exclusive software for their customers *** problem is addressed by the software development industry by software product line(SPL)practices that employ feature ***,optimal feature selection based on user requirements is a challenging ***,there is a requirement to resolve the challenges of software development,to increase satisfaction and maintain high product quality,for massive customer needs within limited *** this work,we propose a recommender system for the development team and clients to increase productivity and quality by utilizing historical information and prior experiences of similar developers and *** proposed system recommends features with their estimated cost concerning new software requirements,from all over the globe according to similar developers’and clients’needs and *** system guides and facilitates the development team by suggesting a list of features,code snippets,libraries,cheat sheets of programming languages,and coding references from a cloud-based knowledge management ***,a list of features is suggested to the client according to their needs and *** experimental results revealed that the proposed recommender system is feasible and effective,providing better recommendations to developers and *** provides proper and reasonably well-estimated costs to perform development tasks effectively as well as increase the client’s satisfaction *** results indicate that there is an increase in productivity,performance,and quality of products and a reduction in effort,complexity,and system ***,our proposed system facilitates developers and clients during development by providing better recommendations in terms of solutions and anticipated ***,the increase in productivity and satisfaction level maximizes the benefits and usability of SPL in the

关键词： Feature selection recommender system software reuse configuration management

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