| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization
|
Kwon, Sunjae
|
|
|
31 |
4 |
p. 1009-1044
|
artikel
|
| 2 |
A replication study on the intuitiveness of programming language syntax
|
Lappi, Vilma
|
|
|
31 |
4 |
p. 1211-1240
|
artikel
|
| 3 |
Automatic bug localization using a combination of deep learning and model transformation through node classification
|
Yousofvand, Leila
|
|
|
31 |
4 |
p. 1045-1063
|
artikel
|
| 4 |
Comparative study of machine learning test case prioritization for continuous integration testing
|
Marijan, Dusica
|
|
|
31 |
4 |
p. 1415-1438
|
artikel
|
| 5 |
Correction to: TeqReq: a new family of test‑related requirements attributes
|
Roncero, Enrique
|
|
|
31 |
4 |
p. 1563
|
artikel
|
| 6 |
Evaluating testing strategies for resource related failures in mobile applications
|
Marinho, Euler Horta
|
|
|
31 |
4 |
p. 1121-1147
|
artikel
|
| 7 |
Identifying common and persistent errors made by novice analysts when modeling business processes using UML activity diagram: utilizing a hierarchical error classification
|
Beimel, Dizza
|
|
|
31 |
4 |
p. 1149-1178
|
artikel
|
| 8 |
Identifying the severity of technical debt issues based on semantic and structural information
|
Yu, Dongjin
|
|
|
31 |
4 |
p. 1499-1526
|
artikel
|
| 9 |
Implicit and explicit mixture of experts models for software defect prediction
|
Shankar Mishra, Aditya
|
|
|
31 |
4 |
p. 1331-1368
|
artikel
|
| 10 |
Just-in-time defect prediction for mobile applications: using shallow or deep learning?
|
van Dinter, Raymon
|
|
|
31 |
4 |
p. 1281-1302
|
artikel
|
| 11 |
Lessons learned from replicating a study on information-retrieval-based test case prioritization
|
Minhas, Nasir Mehmood
|
|
|
31 |
4 |
p. 1527-1559
|
artikel
|
| 12 |
Machine learning application development: practitioners’ insights
|
Rahman, Md Saidur
|
|
|
31 |
4 |
p. 1065-1119
|
artikel
|
| 13 |
Machine learning for mHealth apps quality evaluation
|
Haoues, Mariem
|
|
|
31 |
4 |
p. 1179-1209
|
artikel
|
| 14 |
.NET/C# instrumentation for search-based software testing
|
Golmohammadi, Amid
|
|
|
31 |
4 |
p. 1439-1465
|
artikel
|
| 15 |
Object coverage criteria for supporting object-oriented testing
|
Ghoreshi, M.
|
|
|
31 |
4 |
p. 1369-1414
|
artikel
|
| 16 |
Retraction Note to: Correlation between amount-of-reuse metrics and other software measures with respect to programming code in C++
|
Mahmood, Zaigham
|
|
|
31 |
4 |
p. 1561
|
artikel
|
| 17 |
Software fault prediction using deep learning techniques
|
Batool, Iqra
|
|
|
31 |
4 |
p. 1241-1280
|
artikel
|
| 18 |
Towards an understanding of memory leak patterns: an empirical study in Python
|
Chen, Jie
|
|
|
31 |
4 |
p. 1303-1330
|
artikel
|
| 19 |
UX debt in an agile development process: evidence and characterization
|
Rodriguez, Andres
|
|
|
31 |
4 |
p. 1467-1498
|
artikel
|
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