36 citations · 105 across the 14 of their papers we have counts for
14 papers
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
Xin Zhou, Duc-Manh Tran, Thanh Le-Cong +5
Software vulnerabilities pose significant security challenges and potential risks to society, necessitating extensive efforts in automated vulnerability detection. There are two po…
Evaluating Pre-trained Language Models for Repairing API Misuses
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung +3
API misuses often lead to software bugs, crashes, and vulnerabilities. While several API misuse detectors have been proposed, there are no automatic repair tools specifically desig…
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung +1
Software development involves collaborative interactions where stakeholders express opinions across various platforms. Recognizing the sentiments conveyed in these interactions is…
CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung +1
Duplicate bug report detection (DBRD) is a long-standing challenge in both academia and industry. Over the past decades, researchers have proposed various approaches to detect dupl…
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge
Kisub Kim, Ferdian Thung, Ting Zhang +4
Utilizing pre-existing software artifacts, such as libraries and Application Programming Interfaces (APIs), is crucial for software development efficiency. However, the abundance o…
APIHarvest: Harvesting API Information from Various Online Sources
Ferdian Thung, Kisub Kim, Ting Zhang +4
Using APIs to develop software applications is the norm. APIs help developers to build applications faster as they do not need to reinvent the wheel. It is therefore important for…
PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts
Ivana Clairine Irsan, Ting Zhang, Ferdian Thung +2
While having options could be liberating, too many options could lead to the sub-optimal solution being chosen. This is not an exception in the software engineering domain. Nowaday…
Representation Learning for Stack Overflow Posts: How Far are We?
Junda He, Zhou Xin, Bowen Xu +6
The tremendous success of Stack Overflow has accumulated an extensive corpus of software engineering knowledge, thus motivating researchers to propose various solutions for analyzi…
Duplicate Bug Report Detection: How Far Are We?
Ting Zhang, DongGyun Han, Venkatesh Vinayakarao +5
Many Duplicate Bug Report Detection (DBRD) techniques have been proposed in the research literature. The industry uses some other techniques. Unfortunately, there is insufficient c…
Answer Summarization for Technical Queries: Benchmark and New Approach
Yang Chengran, Bowen Xu, Ferdian Thung +8
Prior studies have demonstrated that approaches to generate an answer summary for a given technical query in Software Question and Answer (SQA) sites are desired. We find that exis…
Automatic Pull Request Title Generation
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung +3
Pull Requests (PRs) are a mechanism on modern collaborative coding platforms, such as GitHub. PRs allow developers to tell others that their code changes are available for merging…
AutoPRTitle: A Tool for Automatic Pull Request Title Generation
Ivana Clairine Irsan, Ting Zhang, Ferdian Thung +2
With the rise of the pull request mechanism in software development, the quality of pull requests has gained more attention. Prior works focus on improving the quality of pull requ…
iTiger: An Automatic Issue Title Generation Tool
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung +3
In both commercial and open-source software, bug reports or issues are used to track bugs or feature requests. However, the quality of issues can differ a lot. Prior research has f…
Latent Feature Based FM Model For Rating Prediction
Xudong Liu, Bin Zhang, Ting Zhang +1
Rating Prediction is a basic problem in Recommender System, and one of the most widely used method is Factorization Machines(FM). However, traditional matrix factorization methods…