International audienceChange-level defect prediction which is also known as just-in-time defect prediction, will not only improve the software quality and reduce costs, but also give more accurate and earlier feedback to developers than tra ditional file-level defect prediction. To build just-in-time defect prediction models, most existing approaches focused on using manually traditional features (metrics of code change), and exploited different machine learning. However, those approaches fail to capture the semantic differences between code changes and the dependency information within programs; and consequently do not cover all types of bugs. Such information has an important role to play in improving the accuracy of the defect prediction...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
Defects are common in software systems and cause many problems for software users. Different methods...
Software defect prediction has become a significant study path in the field of software engineering ...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
Abstract—Defect prediction is a very meaningful topic, par-ticularly at change-level. Change-level d...
Software quality assurance efforts often focus on identifying defective code. To find likely defecti...
Research on software defect prediction has achieved great success at modeling predictors. To build m...
Effort-aware just-in-time (JIT) defect prediction is to rank source code changes based on the likeli...
The increasing complexity of today's software requires the contribution of thousands of developers. ...
To improve software reliability, software defect prediction is used to find software bugs and priori...
Finding defects in proposed changes is one of the biggest motivations and expected outcomes of code ...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
In order to improve software reliability, software defect prediction is applied to the process of so...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
Defects are common in software systems and cause many problems for software users. Different methods...
Software defect prediction has become a significant study path in the field of software engineering ...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
International audienceChange-level defect prediction which is also known as just-in-time defect pred...
Abstract—Defect prediction is a very meaningful topic, par-ticularly at change-level. Change-level d...
Software quality assurance efforts often focus on identifying defective code. To find likely defecti...
Research on software defect prediction has achieved great success at modeling predictors. To build m...
Effort-aware just-in-time (JIT) defect prediction is to rank source code changes based on the likeli...
The increasing complexity of today's software requires the contribution of thousands of developers. ...
To improve software reliability, software defect prediction is used to find software bugs and priori...
Finding defects in proposed changes is one of the biggest motivations and expected outcomes of code ...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
In order to improve software reliability, software defect prediction is applied to the process of so...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
Defects are common in software systems and cause many problems for software users. Different methods...
Software defect prediction has become a significant study path in the field of software engineering ...