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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
semanticscholar +1 more source
Journal of Systems and Software, 2021 Context: Software has become ubiquitous in every corner of modern societies. During the last five decades, software engineering has also changed significantly to advance the development of various types and scales of software products.
Orges Cico +3 more
semanticscholar +1 more source
Engineering software correctness [PDF]
Proceedings of the 2005 workshop on Functional and declarative programming in education, 2005 AbstractDesign and quality are fundamental themes in engineering education. Functional programming builds software from small components, a central element of good design, and facilitates reasoning about correctness, an important aspect of quality. Software engineering courses that employ functional programming provide a platform for educating students
openaire +1 more source
A Survey on Deep Learning for Software Engineering [PDF]
ACM Computing Surveys, 2020 In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)” and an improved model training method to break the bottleneck of neural network development.
Yanming Yang +3 more
semanticscholar +1 more source
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
doaj +1 more source
Quantum Software Engineering: Roadmap and Challenges Ahead [PDF]
ACM Transactions on Software Engineering and MethodologyAs quantum computers advance, the complexity of the software they can execute increases as well. To ensure this software is efficient, maintainable, reusable, and cost-effective—key qualities of any industry-grade software—mature software engineering ...
J. M. Murillo +15 more
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A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges [PDF]
Journal of Systems and Software, 2020 Context: Advancements in machine learning (ML) lead to a shift from the traditional view of software development, where algorithms are hard-coded by humans, to ML systems materialized through learning from data.
G. Giray
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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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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
semanticscholar +1 more source