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相关论文: API2Com: On the Improvement of Automatically Gener…

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This work investigates the performance of Large Language Models (LLMs) in generating ABAP code. Despite successful applications of generative AI in many programming languages, there are hardly any systematic analyses of ABAP code generation…

软件工程 · 计算机科学 2026-01-22 Stephan Wallraven , Tim Köhne , Hartmut Westenberger , Andreas Moser

Reusing code is a common practice in software development: It helps developers speedup the implementation task while also reducing the chances of introducing bugs, given the assumption that the reused code has been tested, possibly in…

软件工程 · 计算机科学 2022-08-17 Rosalia Tufano , Emad Aghajani , Gabriele Bavota

Modern software systems rely heavily on Web APIs, yet creating meaningful and executable test scripts remains a largely manual, time-consuming, and error-prone task. In this paper, we present APITestGenie, a novel tool that leverages Large…

软件工程 · 计算机科学 2026-04-03 André Pereira , Bruno Lima , João Pascoal Faria

Code comment generation aims to produce a generic overview of a code snippet, helping developers understand and maintain code. However, generic summaries alone are insufficient to meet the diverse needs of practitioners; for example,…

软件工程 · 计算机科学 2025-10-30 Shuochuan Li , Zan Wang , Xiaoning Du , Zhuo Wu , Jiuqiao Yu , Junjie Chen

Ensuring that API implementations and usage comply with natural language programming rules is critical for software correctness, security, and reliability. Formal verification can provide strong guarantees but requires precise…

编程语言 · 计算机科学 2026-02-06 Shihao Xia , Mengting He , Haomin Jia , Linhai Song

Worked examples (solutions to typical programming problems presented as a source code in a certain language and are used to explain the topics from a programming class) are among the most popular types of learning content in programming…

Structured code comments in docstring format are essential for code comprehension and maintenance, but existing machine learning models for their generation perform poorly for Russian compared to English. To bridge this gap, we present…

计算与语言 · 计算机科学 2025-05-19 Maria Dziuba , Valentin Malykh

Code review is a crucial practice in software development. As code review nowadays is lightweight, various issues can be identified, and sometimes, they can be trivial. Research has investigated automated approaches to classify review…

软件工程 · 计算机科学 2025-08-14 Linh Nguyen , Chunhua Liu , Hong Yi Lin , Patanamon Thongtanunam

Functionality and dialogue experience are two important factors of task-oriented dialogue systems. Conventional approaches with closed schema (e.g., conversational semantic parsing) often fail as both the functionality and dialogue…

During code reviews, an essential step in software quality assurance, reviewers have the difficult task of understanding and evaluating code changes to validate their quality and prevent introducing faults to the codebase. This is a tedious…

软件工程 · 计算机科学 2024-05-14 Doriane Olewicki , Sarra Habchi , Bram Adams

AI models and services are used in a growing number of highstakes areas, resulting in a need for increased transparency. Consistent with this, several proposals for higher quality and more consistent documentation of AI data, models, and…

Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language query is very helpful in this regard. Given a query,…

软件工程 · 计算机科学 2017-07-17 Xiaodong Gu , Hongyu Zhang , Dongmei Zhang , Sunghun Kim

Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to address identified problems. Despite these benefits, code review…

软件工程 · 计算机科学 2025-06-06 Oussama Ben Sghaier , Rosalia Tufano , Gabriele Bavota , Houari Sahraoui

In reaction to growing concerns about the potential harms of artificial intelligence (AI), societies have begun to demand more transparency about how AI models and systems are created and used. To address these concerns, several efforts…

计算机与社会 · 计算机科学 2024-03-13 David Piorkowski , John Richards , Michael Hind

The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human and large language model generated labels. In this track,…

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 designed for this purpose. In a recent study, test-suite-based…

软件工程 · 计算机科学 2023-10-26 Ting Zhang , Ivana Clairine Irsan , Ferdian Thung , David Lo , Asankhaya Sharma , Lingxiao Jiang

Artificial Intelligence systems, which benefit from the availability of large-scale datasets and increasing computational power, have become effective solutions to various critical tasks, such as natural language understanding, speech…

软件工程 · 计算机科学 2023-03-20 Zhou Yang , Chenyu Wang , Jieke Shi , Thong Hoang , Pavneet Kochhar , Qinghua Lu , Zhenchang Xing , David Lo

Usually, programming languages have official documentation to guide developers with APIs, methods, and classes. However, researchers identified insufficient or inadequate documentation examples and flaws with the API's complex structure as…

软件工程 · 计算机科学 2023-12-05 AmirHossein Naghshzan , Latifa Guerrouj , Olga Baysal

Software Documentation plays a major role in the usage and development of a project. Widespread adoption of open source software projects contributes to larger and faster development of the projects, making it difficult to maintain the…

软件工程 · 计算机科学 2025-08-26 Akhila Sri Manasa Venigalla , Sridhar Chimalakonda

Comments within source code are essential for developers to comprehend the code's purpose and ensure its correct usage. However, as codebases evolve, maintaining an accurate alignment between the comments and the code becomes increasingly…

软件工程 · 计算机科学 2024-02-06 Anh T. V. Dau , Jin L. C. Guo , Nghi D. Q. Bui
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