X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
predictive models (11) 11
analytical models (7) 7
software (7) 7
software quality assurance (6) 6
computer science, software engineering (5) 5
correlation (5) 5
data models (5) 5
computer science - software engineering (4) 4
defect prediction (4) 4
defect prediction models (4) 4
experimental design (4) 4
software defect prediction (4) 4
software quality (4) 4
bug localization (3) 3
computer bugs (3) 3
correlated metrics (3) 3
defects (3) 3
engineering, electrical & electronic (3) 3
history (3) 3
measurement (3) 3
researcher bias (3) 3
software analytics (3) 3
software engineering (3) 3
software metrics (3) 3
analysis (2) 2
analysis of variance (2) 2
android mobile apps (2) 2
androids (2) 2
besitzer (2) 2
classification techniques (2) 2
complexity theory (2) 2
computational modeling (2) 2
computer science (2) 2
context modeling (2) 2
data mining (2) 2
developer response (2) 2
empirical software engineering (2) 2
equations (2) 2
experimenteller entwurf (2) 2
feature extraction (2) 2
feature selection (2) 2
framework (2) 2
google (2) 2
google play store (2) 2
humanoid robots (2) 2
information retrieval (2) 2
mathematical model (2) 2
mathematical models (2) 2
mining software repositories (2) 2
mischwirkung (2) 2
mixed-effect model (2) 2
model interpretation (2) 2
noise measurement (2) 2
open source software (2) 2
optimization (2) 2
parameter optimization (2) 2
performance (2) 2
qualitative analyse (2) 2
regression (2) 2
software maintenance (2) 2
software-engineering (2) 2
software-modul (2) 2
source code (2) 2
stichprobe (2) 2
tools (2) 2
training (2) 2
user-developer dialogue (2) 2
user-unterstützung (2) 2
vectors (2) 2
vegetation (2) 2
vorhersagemodell (2) 2
accuracy (1) 1
applications programs (1) 1
artificial intelligence (1) 1
australia (1) 1
automation (1) 1
bergbau (1) 1
bias (1) 1
boosting (1) 1
bootstrap (1) 1
bootstrap validation (1) 1
class rebalancing techniques (1) 1
classification (1) 1
classifier configuration (1) 1
classifiers (1) 1
co-change histories (1) 1
code (1) 1
code-reviewer recommendation (1) 1
computational efficiency (1) 1
computer programs (1) 1
computer science - information retrieval (1) 1
computer science, information systems (1) 1
computer simulation (1) 1
computers (1) 1
conferences (1) 1
context (1) 1
control systems (1) 1
cross validation (1) 1
cross-validation (1) 1
data analytics (1) 1
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


IEEE Transactions on Software Engineering, ISSN 0098-5589, 10/2018, pp. 1 - 1
Defect models that are trained on class imbalanced datasets (i.e., the proportion of defective and clean modules is not equally represented) are highly... 
Training | Analytical models | empirical investigation | Predictive models | class rebalancing techniques | experimental design | Software quality assurance | Open source software | software defect prediction | Guidelines | Context modeling
Journal Article
IEEE Transactions on Software Engineering, ISSN 0098-5589, 1/2019, pp. 1 - 1
Defect models are analytical models for building empirical theories related to software quality. Prior studies often derive knowledge from such models using... 
Measurement | Analytical models | Correlation | Computer bugs | Software Quality Assurance | Software quality | Defect models | Model Specification | Hypothesis Testing | Complexity theory | Correlated Metrics | Analysis of variance
Journal Article
IEEE Transactions on Software Engineering, ISSN 0098-5589, 11/2016, Volume 42, Issue 11, pp. 1092 - 1094
Shepperd et al. find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the... 
Measurement | Analytical models | NASA | defect prediction | researcher bias | Interference | Predictive models | Data models | Software quality assurance | Analysis of variance
Journal Article
2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP), ISSN 0270-5257, 05/2018, pp. 286 - 295
Over the past decade with the rise of the Mining Software Repositories (MSR) field, the modelling of defects for large and long-lived systems has become one of... 
Measurement | Analytical models | Correlation | Empirical Software Engineering | Mining Software Repositories | Software Analytics | Predictive models | Software | Data models | Complexity theory | Defect Prediction Models | Data Analytics | Software analytics | Empirical software engineering | Defect modelling | Experimental design | Mining software repositories
Conference Proceeding
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, ISSN 0098-5589, 11/2016, Volume 42, Issue 11, pp. 1092 - 1094
Shepperd et al. find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the... 
COMPUTER SCIENCE, SOFTWARE ENGINEERING | defect prediction | researcher bias | Software quality assurance | ENGINEERING, ELECTRICAL & ELECTRONIC | Studies | Artificial intelligence | Variance analysis | Defects
Journal Article
Proceedings of the 37th International Conference on software engineering, ISSN 0270-5257, 05/2015, Volume 1, pp. 812 - 823
The reliability of a prediction model depends on the quality of the data from which it was trained. Therefore, defect prediction models may be unreliable if... 
Data Quality | Software Defect Prediction | Noise | Software Quality Assurance | Predictive models | Mislabelling | Data models | Software | Noise measurement | Data mining
Conference Proceeding
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), 05/2019, pp. 654 - 665
With the rise of the Mining Software Repositories (MSR) field, defect datasets extracted from software repositories play a foundational role in many empirical... 
Empirical Software Engineering | Mining Software Repositories | Object oriented modeling | Software quality | Predictive models | Feature extraction | Control systems | Defect Prediction Models | Data mining
Conference Proceeding
2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), ISSN 0270-5257, 05/2016, Volume 14-22-, pp. 321 - 332
Defect prediction models are classifiers that are trained to identify defect-prone software modules. Such classifiers have configurable parameters that control... 
classification techniques | Vegetation | Predictive models | Boosting | experimental design | parameter optimization | Decision trees | Kernel | Optimization | software defect prediction | Classification techniques | Parameter optimization | Experimental design | Software defect prediction
Conference Proceeding
Information and Software Technology, ISSN 0950-5849, 10/2018, Volume 102, pp. 160 - 174
IR-based bug localization is a classifier that assists developers in locating buggy source code entities (e.g., files and methods) based on the content of a... 
Classifier configuration | Top-k performance | Bug localization | Evaluation metrics | Effort | PROBABILISTIC RANKING | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS | SOURCE CODE | RETRIEVAL | Program errors | Analysis | Methods
Journal Article
2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 05/2018, pp. 164 - 164
The popularity of mobile apps continues to grow over the past few years. Mobile app stores, such as the Google Play Store and Apple's App Store provide a... 
Computer science | Google | Systematics | Tools | Developer response | Software | Google Play Store | Mixed-effect model | Australia | User-developer dialogue | Software engineering | Android mobile apps
Conference Proceeding
2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering, SANER 2015 - Proceedings, 04/2015, pp. 141 - 150
Software code review is an inspection of a code change by an independent third-party developer in order to identify and fix defects before an integration.... 
Distributed Software Development | Code-Reviewer Recommendation | Modern Code Review | Freeware | Developers | Inspection | Tools | Software | Source code | Computer programs | Reviewing
Conference Proceeding
Proceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018, 11/2018, pp. 92 - 103
Conference Proceeding
Proceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018, 11/2018, p. 711
Conference Proceeding
06/2018
The interpretation of defect models heavily relies on software metrics that are used to construct them. However, such software metrics are often correlated to... 
Journal Article
01/2018
Defect prediction models that are trained on class imbalanced datasets (i.e., the proportion of defective and clean modules is not equally represented) are... 
Computer Science - Software Engineering
Journal Article
01/2018
Defect models are analytical models that are used to build empirical theories that are related to software quality. Prior studies often derive knowledge from... 
Computer Science - Software Engineering
Journal Article
2016 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 10/2016, pp. 51 - 52
Defect prediction models can help Software Quality Assurance (SQA) teams understand their past pitfalls that lead to defective modules. However, the... 
Correlation | Software metrics | defect prediction models | Redundancy | Software quality | Predictive models | redundant metrics | Software quality assurance | Redundant metrics | Defect prediction models
Conference Proceeding
No results were found for your search.

Cannot display more than 1000 results, please narrow the terms of your search.