UX debt in an agile development process: evidence and characterization.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1467, doi. 10.1007/s11219-023-09652-2
- By:
- Publication type:
- Article
Works matching IS 09639314 AND DT 2023 AND VI 31 AND IP 4
Results: 19
1
2
Identifying the severity of technical debt issues based on semantic and structural information.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1499, doi. 10.1007/s11219-023-09651-3
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- Publication type:
- Article
3
Lessons learned from replicating a study on information-retrieval-based test case prioritization.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1527, doi. 10.1007/s11219-023-09650-4
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- Publication type:
- Article
4
Correction to: TeqReq: a new family of test‑related requirements attributes.
- Published in:
- 2023
- By:
- Publication type:
- Correction Notice
5
Comparative study of machine learning test case prioritization for continuous integration testing.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1415, doi. 10.1007/s11219-023-09646-0
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- Publication type:
- Article
6
Machine learning for mHealth apps quality evaluation: An approach based on user feedback analysis.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1179, doi. 10.1007/s11219-023-09630-8
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- Publication type:
- Article
7
.NET/C# instrumentation for search-based software testing.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1439, doi. 10.1007/s11219-023-09645-1
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- Publication type:
- Article
8
Object coverage criteria for supporting object-oriented testing.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1369, doi. 10.1007/s11219-023-09643-3
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- Publication type:
- Article
9
Software fault prediction using deep learning techniques.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1241, doi. 10.1007/s11219-023-09642-4
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- Publication type:
- Article
10
Towards an understanding of memory leak patterns: an empirical study in Python.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1303, doi. 10.1007/s11219-023-09641-5
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- Publication type:
- Article
11
Implicit and explicit mixture of experts models for software defect prediction.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1331, doi. 10.1007/s11219-023-09640-6
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- Publication type:
- Article
12
A replication study on the intuitiveness of programming language syntax.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1211, doi. 10.1007/s11219-023-09631-7
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- Publication type:
- Article
13
Just-in-time defect prediction for mobile applications: using shallow or deep learning?
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1281, doi. 10.1007/s11219-023-09629-1
- By:
- Publication type:
- Article
14
Identifying common and persistent errors made by novice analysts when modeling business processes using UML activity diagram: utilizing a hierarchical error classification.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1149, doi. 10.1007/s11219-023-09628-2
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- Publication type:
- Article
15
Evaluating testing strategies for resource related failures in mobile applications.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1121, doi. 10.1007/s11219-023-09627-3
- By:
- Publication type:
- Article
16
Automatic bug localization using a combination of deep learning and model transformation through node classification.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1045, doi. 10.1007/s11219-023-09625-5
- By:
- Publication type:
- Article
17
An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1009, doi. 10.1007/s11219-023-09624-6
- By:
- Publication type:
- Article
18
Machine learning application development: practitioners' insights.
- Published in:
- Software Quality Journal, 2023, v. 31, n. 4, p. 1065, doi. 10.1007/s11219-023-09621-9
- By:
- Publication type:
- Article
19
Retraction Note to: Correlation between amount-of-reuse metrics and other software measures with respect to programming code in C++.
- Published in:
- 2023
- By:
- Publication type:
- Correction Notice