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Operationalizing validity of empirical software engineering studies
Empirical Software Engineering studies apply methods, like linear regression, statistic tests, or correlation analysis, to better understand software...
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Revolutionizing software developmental processes by utilizing continuous software approaches
The development of smart and innovative software applications in various disciplines has inspired our lives by providing various cutting-edge...
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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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Training software architects suiting software industry needs: A literature review
The ability to define, evaluate, and implement software architectures is a fundamental skill for software engineers. However, teaching software...
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Result Assessment Tool: Software to Support Studies Based on Data from Search Engines
The Result Assessment Tool (RAT) is a software toolkit for conducting research with results from commercial search engines and other information... -
Predicting software vulnerability based on software metrics: a deep learning approach
The security of IT systems is the topmost priority of software developers. Software vulnerabilities undermine the security of computer systems....
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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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A Software Vulnerability Prediction Model Using Traceable Code Patterns and Software Metrics
The goal of this research is to build a vulnerability prediction model to assist developers in evaluating the security of software systems during the...
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Validation of Metrics for the Deployment of Software Systems: Case Studies in SMEs in Argentina
The growing demand for quality software products requires software developers to use standards and methodologies that ensure the delivery of those... -
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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An Evaluation of the Product Security Maturity Model Through Case Studies at 15 Software Producing Organizations
Cybersecurity is becoming increasingly important from a software business perspective. The software that is produced and sold generally becomes part... -
Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews
ContextSoftware selection in large-scale software development continues to be ad hoc and ill-structured. Previous proposals for software component...
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Generative AI for Software Development: A Family of Studies on Code Generation
The rapid advancements in generative artificial intelligence (AI) offer multiple opportunities for its application in various domains, including... -
The software heritage license dataset (2022 edition)
Context:When software is released publicly, it is common to include with it either the full text of the license or licenses under which it is...
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Systematic literature review on software quality for AI-based software
There is a widespread demand for Artificial Intelligence (AI) software, specifically Machine Learning (ML). It is getting increasingly popular and...
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Software verification challenges in the blockchain ecosystem
Blockchain technology has created a new software development context, with its own peculiarities, mainly due to the guarantees that the technology...
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Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analyses
The paper introduces a fundamental technological problem with collecting high-speed eye tracking data while studying software engineering tasks in an...
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Structured Watermarks for Structured Software
Software watermarking involves integrating an identifier within the software, enabling timely retrieval to disclose authorship/ownership, and deter...
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Industry perceptions of the competencies needed by novice software tester
Regarding the caliber of newly-graduated professionals, the software industry expresses discontent. Therefore, software industries spend on training...
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Software defect prediction: future directions and challenges
Software defect prediction is one of the most popular research topics in software engineering. The objective of defect prediction is to identify...