A5082889324- Software Engineering Research
- Software Reliability and Analysis Research
- Software System Performance and Reliability
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Software Testing and Debugging Techniques
- Usability and User Interface Design
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Advanced Malware Detection Techniques
- Open Source Software Innovations
- Data Visualization and Analytics
- Advanced Text Analysis Techniques
- Software Engineering Techniques and Practices
Washington State University
2019-2024
Washington State University Spokane
2019
In recent years, research in the domain of source code summarization has adopted data-driven techniques pioneered machine translation (MT). Automatic evaluation metrics such as BLEU, METEOR, and ROUGE, are fundamental to MT systems have been proxies human domain. However, extent which automatic agree with gold standard not evaluated on tasks. Despite this, marginal improvements metric scores often used discriminate between performance competing models. this paper, we present a critical...
There are several widely accepted metrics to measure code quality that currently being used in both research and practice detect smells find opportunities for improvement. Although these have been proposed as a proxy of quality, recent suggests more often than not, state-of-the-art do not successfully capture improvements the source perceived by developers. More specifically, results show there may be inconsistencies between, on one hand, from cohesion, coupling, complexity, readability,...
Automated test case generation tools have been successfully proposed to reduce the amount of human and infrastructure resources required write run cases. However, recent studies demonstrate that readability generated tests is very limited due (i) uninformative identifiers (ii) lack proper documentation. Prior techniques improve by either generating natural language summaries or meaningful methods names. While these approaches are shown readability, they also affected two limitations: (1)...
Eye tracking tools are used in software engineering research to study various development activities. However, a major limitation of these is their inability track gaze data for activities that involve source code editing. We present novel solution support eye experiments tasks involving edits as an extension the iTrace [9] community infrastructure. introduce iTrace-Atom plugin and gazel [g@"zel]-a Python processing pipeline maps information changing elements provides researchers with way...
Identifying source code that has poor readability allows developers to focus maintenance efforts on problematic code. Therefore, the effort develop models can quantify of a piece been an area interest for software engineering researchers several years. However, recent research questions usefulness these in practice. When applying improvements are made practice, i.e., commits, they unable capture incremental improvements, despite clear perceived improvement by developers. This results...
Recent research in empirical software engineering is applying techniques from neurocognitive science and breaking new grounds the ways that researchers can model analyze cognitive processes of developers as they interact with artifacts. However, given novelty this line research, only one tool exists to help represent kind multi-modal biometric data. While does visualizing temporal eyetracking physiological data, it not allow for mapping data source code elements, instead projecting...