Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Rishab Sharma"'
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93064852ad28e1126caa460b7d1603a5
https://doi.org/10.4271/2022-28-0422
https://doi.org/10.4271/2022-28-0422
Publikováno v:
Automated Software Engineering. 29
Self-Admitted Technical Debt (SATD) is primarily studied in Object-Oriented (OO) languages and traditionally commercial software. However, scientific software coded in dynamically-typed languages such as R differs in paradigm, and the source code com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2467efac9245d971d0c31015e1b54014
https://doi.org/10.1007/s10515-022-00358-6
https://doi.org/10.1007/s10515-022-00358-6
Publikováno v:
Procedia Computer Science. 173:234-244
In the history of artificial neural networks, LSTMs have proved to be a high-performance architecture at sequential data learning. Although LSTMs are remarkable in learning sequential data but are limited in their ability to learn long-term dependenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24195277b27e95df4bf2cb270843e62e
https://doi.org/10.1016/j.procs.2020.06.028
https://doi.org/10.1016/j.procs.2020.06.028
Many recent models in software engineering introduced deep neural models based on the Transformer architecture or use transformer-based Pre-trained Language Models (PLM) trained on code. Although these models achieve the state of the arts results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e02b1366b94b00ccdfb169d13650a101
Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple ways to generate code comments automatically, previous work mainly consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c237e10fee3c3e0c7ae97dbd2f30b9c
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e2f35c6176511c9e9bfe4e638ed67c
https://doi.org/10.1109/icmla52953.2021.00042
https://doi.org/10.1109/icmla52953.2021.00042
Publikováno v:
ICPC
Code comments can help in program comprehension and are considered as important artifacts to help developers in software maintenance. However, the comments are mostly missing or are outdated, specially in complex software projects. As a result, sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac2db025e7e55fd7db7942a3798fe35
http://arxiv.org/abs/2103.10668
http://arxiv.org/abs/2103.10668
Publikováno v:
COINS
In this paper, we propose an end to end solution for image matting i.e high-precision extraction of foreground objects from natural images. Image matting and background detection can be achieved easily through chroma keying in a studio setting when t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991ea97e35843602e0def5d53b21b108
http://arxiv.org/abs/2003.03613
http://arxiv.org/abs/2003.03613
Publikováno v:
SANER
The competitive market of mobile apps requires app developers to consider the users' feedback frequently. This feedback, when comes from different resources, e.g. App Stores and Twitter, will provide a broader picture of the state of the app, as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac9d0b9acde0b7c35d9487fdfbf5d2c3
https://doi.org/10.1109/saner48275.2020.9054843
https://doi.org/10.1109/saner48275.2020.9054843