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Requirements Engineering in Machine Learning Projects
IEEE Access, 2023 Over the last decade, machine learning methods have revolutionized a large number of domains and provided solutions to many problems that people could hardly solve in the past. The availability of large amounts of data, powerful processing architectures,
Ana Gjorgjevikj +3 more
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Heterogeneous Cross-Project Defect Prediction via Optimal Transport
IEEE Access, 2023 Heterogeneous cross-project defect prediction (HCPDP) aims to learn a prediction model from a heterogeneous source project and then apply the model to a target project.
Xing Zong +5 more
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Guidelines for conducting and reporting case study research in software engineering
Empirical Software Engineering, 2009 Case study is a suitable research methodology for software engineering research since it studies contemporary phenomena in its natural context. However, the understanding of what constitutes a case study varies, and hence the quality of the resulting ...
P. Runeson, Martin Höst
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Topic modeling in software engineering research
Empirical Software Engineering, 2021 Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining technique to extract human-readable semantic “topics” (i.e., word clusters) from a corpus of textual documents.
Camila Costa Silva +2 more
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A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research [PDF]
ACM Transactions on Software Engineering and Methodology, 2020 An increasingly popular set of techniques adopted by software engineering (SE) researchers to automate development tasks are those rooted in the concept of Deep Learning (DL).
Cody Watson +4 more
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A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering [PDF]
IEEE Transactions on Software Engineering, 2020 Chatbots are envisioned to dramatically change the future of Software Engineering, allowing practitioners to chat and inquire about their software projects and interact with different services using natural language.
Ahmad Abdellatif +3 more
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Rapid Reviews in Software Engineering [PDF]
Contemporary Empirical Methods in Software Engineering, 2020 Integrating research evidence into practice is one of the main goals of evidence-based software engineering (EBSE). Secondary studies, one of the main EBSE products, are intended to summarize the “best” research evidence and make them easily consumable ...
Bruno Cartaxo, G. Pinto, S. Soares
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Software Quality Models: A Comprehensive Review and Analysis [PDF]
Journal of Electrical and Computer Engineering Innovations, 2017 Background and Objectives: One of the major challenges in software engineering is how to respond to the desolate state of high-quality software development in a timely and cost-effective manner. Many studies have been conducted in an attempt to formalize
M. Sadeghzadeh Hemayati, H. Rashidi
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Brief review of classical Effort Estimation models for Software development projects
Selecciones Matemáticas, 2023 A critical synthesis on the most representative models for software development project effort estimation is provided. This work is a basis for a discussion about the methodological and practical challenges which entail the effort estimation field ...
Diego Bravo-Estrada, Roxana López-Cruz
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Explainable AI for Software Engineering [PDF]
International Conference on Automated Software Engineering, 2020 The success of software engineering projects largely depends on complex decision-making. For example, which tasks should a developer do first, who should perform this task, is the software of high quality, is a software system reliable and resilient ...
C. Tantithamthavorn +2 more
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