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pro vyhledávání: '"Naghshzan, AmirHossein"'
Autor:
Naghshzan, AmirHossein, Ratte, Sylvie
This study tackles the challenges associated with interpreting Application Programming Interface (API) documentation, an integral aspect of software development. Official API documentation, while essential, can be lengthy and challenging to navigate,
Externí odkaz:
http://arxiv.org/abs/2401.11361
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 barriers t
Externí odkaz:
http://arxiv.org/abs/2310.15015
Autor:
Naghshzan, AmirHossein, Ratte, Sylvie
As the amount of textual data in various fields, including software development, continues to grow, there is a pressing demand for efficient and effective extraction and presentation of meaningful insights. This paper presents a unique approach to ad
Externí odkaz:
http://arxiv.org/abs/2308.09070
Our research investigates the recommendation of code examples to aid software developers, a practice that saves developers significant time by providing ready-to-use code snippets. The focus of our study is Stack Overflow, a commonly used resource fo
Externí odkaz:
http://arxiv.org/abs/2305.03017
Autor:
Naghshzan, AmirHossein, Khalilazar, Saeed, Poilane, Pierre, Baysal, Olga, Guerrouj, Latifa, Khomh, Foutse
Context: Recent research has used data mining to develop techniques that can guide developers through source code changes. To the best of our knowledge, very few studies have investigated data mining techniques and--or compared their results with oth
Externí odkaz:
http://arxiv.org/abs/2305.00323
Autor:
Naghshzan, AmirHossein
Each programming language comes with official documentation to guide developers with APIs, methods, and classes. However, in some cases, official documentation is not an efficient way to get the needed information. As a result, developers may consult
Externí odkaz:
http://arxiv.org/abs/2208.06318
Publikováno v:
2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, pp. 142-152
Automated source code summarization is a task that generates summarized information about the purpose, usage, and--or implementation of methods and classes to support understanding of these code entities. Multiple approaches and techniques have been
Externí odkaz:
http://arxiv.org/abs/2111.13962
Autor:
Naghshzan, AmirHossein
Each programming language comes with official documentation to guide developers with APIs, methods and classes. However, in some cases, official documentation is not an efficient way to get the needed information. As a result, developers may consult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b1efc5605e22fbc4c0dc83f38ca9d11