ICSE

Technical Debt analysis is increasing in popularity as nowadays researchers and industry are adopting various tools for static code analysis to evaluate the quality of their code. Despite this, empirical studies on software projects are expensive ...

We present a methodology to identify refactoring operations that reduce the bug rate in the code. The methodology is based on comparing the bug fixing rate in certain time windows before and after the refactoring. We analyzed 61,331 refactor commits ...

Background: Developers spend a significant amount of time and effort to localize bugs. In the literature, many researchers proposed state-of-the-art bug localization models to help developers localize bugs easily. The practitioners, on the other hand, ...

Model-based estimation often uses impact factors and historical data to predict the effort of new projects. Estimation accuracy of this approach is highly dependent on how well impact factors are selected. This paper comparatively assesses six methods ...

Background: Open source requires participation of volunteer and commercial developers (users) in order to deliver functional high-quality components. Developers both contribute effort in the form of patches and demand effort from the component ...

Code changes to software occur due to various reasons such as bug fixing, new feature addition, and code refactoring. In most existing studies, the intent of the change is rarely leveraged to provide more specific, context aware analysis.

In this paper, ...

User interface testing validates the correctness of an application through visual cues and interactive events emitted in real world usages. Performing user interface tests is a time-consuming process, and thus, many studies have focused on prioritizing ...

Various types of artifacts (requirements, source code, test cases, documents, etc.) are produced throughout the lifecycle of a software. These artifacts are often related with each other via traceability links that are stored in modern application ...

BACKGROUND: Prediction systems in software engineering often suffer from the shortage of suitable data within a project. A promising solution is transfer learning that utilizes data from outside the project. Many transfer learning approaches have been ...

Bugs appear in almost any software development. Solving all or at least a large part of them requires a great deal of time, effort, and budget. Software projects typically use issue tracking systems as a way to report and monitor bug-fixing tasks. In ...

BACKGROUND: Just-In-Time (JIT) models, unlike the traditional defect prediction models, detect the fix-inducing changes (or defect inducing changes). These models are designed based on the assumption that past code change properties are similar to ...