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| 2. |
- Abrahao, Silvia, et al.
(författare)
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Modeling and Architecting of Complex Software Systems
- 2024
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Ingår i: IEEE SOFTWARE. - 0740-7459 .- 1937-4194. ; 41:3, s. 76-79
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Tidskriftsartikel (refereegranskat)abstract
- This edition of the "Practitioners' Digest" covers recent papers on novel approaches and tools to assist developers in modeling and architecting software systems from two conferences: the 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) and the 20th IEEE International Conference on Software Architecture (ICSA). Feedback or suggestions are welcome. Also, if you try or adopt any of the practices included in the column, please send us and the authors of the paper(s) a note about your experiences.
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| 3. |
- Abrahao, Silvia, et al.
(författare)
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Open Source Software: Communities and Quality
- 2023
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Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; 40:4, s. 96-99
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Tidskriftsartikel (refereegranskat)abstract
- This edition of the Practitioner's Digest features recent papers on open source software related to toxicity in open source discussions, newcomers in open source projects, quality of ansible scripts, code review practices, orphan vulnerabilities in open source software, and the relationship between community and design smells.
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| 4. |
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| 5. |
- Al Sabbagh, Khaled, 1987, et al.
(författare)
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Selective Regression Testing based on Big Data: Comparing Feature Extraction Techniques
- 2020
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Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; , s. 322-329
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Konferensbidrag (refereegranskat)abstract
- Regression testing is a necessary activity in continuous integration (CI) since it provides confidence that modified parts of the system are correct at each integration cycle. CI provides large volumes of data which can be used to support regression testing activities. By using machine learning, patterns about faulty changes in the modified program can be induced, allowing test orchestrators to make inferences about test cases that need to be executed at each CI cycle. However, one challenge in using learning models lies in finding a suitable way for characterizing source code changes and preserving important information. In this paper, we empirically evaluate the effect of three feature extraction algorithms on the performance of an existing ML-based selective regression testing technique. We designed and performed an experiment to empirically investigate the effect of Bag of Words (BoW), Word Embeddings (WE), and content-based feature extraction (CBF). We used stratified cross validation on the space of features generated by the three FE techniques and evaluated the performance of three machine learning models using the precision and recall metrics. The results from this experiment showed a significant difference between the models' precision and recall scores, suggesting that the BoW-fed model outperforms the other two models with respect to precision, whereas a CBF-fed model outperforms the rest with respect to recall.
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| 6. |
- Alégroth, Emil, et al.
(författare)
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Replicating Rare Software Failures with Exploratory Visual GUI Testing
- 2017
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Ingår i: IEEE Software. - : IEEE Computer Society. - 0740-7459 .- 1937-4194. ; 34:5, s. 53-59
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Tidskriftsartikel (refereegranskat)abstract
- Saab AB developed software that had a defect that manifested itself only after months of continuous system use. After years of customer failure reports, the defect still persisted, until Saab developed failure replication based on visual GUI testing. © 1984-2012 IEEE.
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| 7. |
- Avgeriou, Paris C, et al.
(författare)
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An Overview and Comparison of Technical Debt Measurement Tools
- 2021
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Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; 38:3, s. 61-71
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Tidskriftsartikel (refereegranskat)abstract
- There are numerous commercial tools and research prototypes that offer support for measuring technical debt. However, different tools adopt different terms, metrics, and ways to identify and measure technical debt. These tools offer diverse features, and their popularity / community support varies significantly. Therefore, (a) practitioners face difficulties when trying to select a tool matching their needs; and (b) the concept of technical debt and its role in software development is blurred. We attempt to clarify the situation by comparing the features and popularity of technical debt measurement tools, and analyzing the existing empirical evidence on their validity. Our findings can help practitioners to find the most suitable tool for their purposes, and researchers by highlighting the current tool shortcomings.
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| 8. |
- Baudry, Benoit, et al.
(författare)
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A Software-Repair Robot Based on Continual Learning
- 2021
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Ingår i: IEEE Software. - : Institute of Electrical and Electronics Engineers (IEEE). - 0740-7459 .- 1937-4194. ; 38:4, s. 28-35
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Tidskriftsartikel (refereegranskat)abstract
- Software bugs are common, and correcting them accounts for a significant portion of the costs in the software development and maintenance process. In this article, we discuss R-Hero, our novel system for learning how to fix bugs based on continual training.
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| 9. |
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| 10. |
- Begel, A., et al.
(författare)
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Bridging Software Communities through Social Networking
- 2013
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Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; 30:1, s. 26-28
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Forskningsöversikt (refereegranskat)abstract
- Over the past decade, the advent of social networking has fundamentally altered the landscape of how software is used, designed, and developed. It has expanded how communities of software stakeholders communicate, collaborate, learn from, and coordinate with one another. The guest editors of this special issue describe both the field and the articles they selected for it.
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