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Quantum software engineering and quantum software development lifecycle: a survey
Quantum software engineering is advancing in the domain of quantum computing research and application, yet the documentation is scattered. The slow...
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Software fault prediction using deep learning techniques
Software fault prediction (SFP) techniques identify faults at the early stages of the software development life cycle (SDLC). We find machine...
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Adoption of automated software engineering tools and techniques in Thailand
Readiness for the adoption of Automated Software Engineering (ASE) tools and techniques can vary according to the size and maturity of software...
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Performance evaluation of software defect prediction with NASA dataset using machine learning techniques
The software industry’s growth and increasing complexity have made software maintenance more challenging, with Software Defects (SD) being a...
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Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
Software defects are a critical issue in software development that can lead to system failures and cause significant financial losses. Predicting...
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Bots in Software Development: A Systematic Literature Review and Thematic Analysis
AbstractModern Software Engineering thrives with innovative tools that aid developers in creating better software grounded on quality standards....
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Requirements Validation in the Information System Software Development Lifecycle: A Software Quality in Use Evaluation
AbstractThe Peruvian government adopted the ISO/IEC 12207 standard and established its mandatory implementation in public entities to improve the...
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VulnArmor: mitigating software vulnerabilities with code resolution and detection techniques
In today’s swiftly evolving digital environment, the security and dependability of software applications are crucial. In light of industries’...
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An accurate analogy based software effort estimation using hybrid optimization and machine learning techniques
Software engineering’s primary task is analogy-centric effort estimation. In this, by utilizing the existent histories, the effort needed for new...
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Automatic software code repair using deep learning techniques
In the multi-hundred-billion-dollar industry of software development, the debugging process is an expensive task for developers. So, much effort has...
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Research on Script-Based Software Component Development
As software demand proliferates and software size and complexity increase, traditional software development models face enormous challenges. As a...
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Insights into software development approaches: mining Q &A repositories
ContextSoftware practitioners adopt approaches like DevOps, Scrum, and Waterfall for high-quality software development. However, limited research has...
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Test case reduction and SWOA optimization for distributed agile software development using regression testing
Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile...
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Computational intelligence for estimating software development effort: a systematic map** study
Software development effort estimation (SDEE) is critical for predicting the required resource investment. Since the late 2000s, numerous studies...
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TSoptEE: two-stage optimization technique for software development effort estimation
Accurate software development effort estimation (SDEE) is vital for effective project planning. Due to the complex nature of software projects,...
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An empirical study of data sampling techniques for just-in-time software defect prediction
Just-in-time software defect prediction (JIT-SDP) is a fine-grained, easy-to-trace, and practical method. Unfortunately, JIT-SDP usually suffers from...
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Development of a Software Design Error Taxonomy: A Systematic Literature Review
The Software design process involves a high degree of human interaction and design artifacts creation by software engineers. Software designers use...
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Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques
In software engineering, the planning and budgeting stages of a software project are of great importance to all stakeholders, including project...
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Software development metrics: to VR or not to VR
ContextCurrent data visualization interfaces predominantly rely on 2-D screens. However, the emergence of virtual reality (VR) devices capable of...
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Software Development Security
Software development security is integral to the CISSP certification exam. This domain, also called Domain 8, focuses on security’s role in the...