ICSE

Knowing the topics of a software forum post, such as those on StackOverflow, allows for greater analysis and understanding of the large amounts of data that come from these communities. One approach to this problem is using extreme multi label ...

Before any software maintenance can occur, developers must read the identifier names found in the code to be maintained. Thus, high-quality identifier names are essential for productive program comprehension and maintenance activities. With developers ...

Graph databases employ graph structures such as nodes, attributes and edges to model and store relationships among data. To access this data, graph query languages (GQL) such as Cypher are typically used, which might be difficult to master for end-...

Despite Stack Overflow's popularity as a resource for solving coding problems, identifying relevant information from an individual post remains a challenge. The overload of information in a post can make it difficult for developers to identify specific ...

We report on the organization and results of the first edition of the Tool Competition from the International Workshop on Natural Language-based Software Engineering (NLBSE'22). This year, five teams submitted multiple classification models to ...

This paper describes our participation in the tool competition organized in the scope of the 1st International Workshop on Natural Language-based Software Engineering. We propose a supervised approach relying on fine-tuned BERT-based language models for ...

Issue tracking is one of the integral parts of software development, especially for open source projects. GitHub, a commonly used software management tool, provides its own issue tracking system. Each issue can have various tags, which are manually ...

Pre-trained transformer models are the current state-of-the-art for natural language models processing. seBERT is such a model, that was developed based on the BERT architecture, but trained from scratch with software engineering data. We fine-tuned ...

Recent innovations in natural language processing techniques have led to the development of various tools for assisting software developers. This paper provides a report of our proposed solution to the issue report classification task from the NL-Based ...

Users use Issue Tracking Systems to keep track and manage issue reports in their repositories. An issue is a rich source of software information that contains different reports including a problem, a request for new features, or merely a question about ...

NLP-based models have been increasingly incorporated to address SE problems. These models are either employed in the SE domain with little to no change, or they are greatly tailored to source code and its unique characteristics. Many of these approaches ...

Recently, the application of neural word embeddings for detecting cross-domain ambiguities in software requirements has gained a significant attention from the requirements engineering (RE) community. Several approaches have been proposed in the ...

Neural Machine Translation (NMT) has reached a level of maturity to be recognized as the premier method for the translation between different languages and aroused interest in different research areas, including software engineering. A key step to ...

Background: Systematic Literature Reviews are an important research method for gathering and evaluating the available evidence regarding a specific research topic. However, the process of conducting a Systematic Literature Review manually can be ...

Estimating the software projects' efforts developed by agile methods is important for project managers or technical leads. It provides a summary as a first view of how many hours and developers are required to complete the tasks. There are research ...