{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:10:43Z","timestamp":1730200243343,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386406","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T13:28:47Z","timestamp":1705930127000},"page":"5619-5628","source":"Crossref","is-referenced-by-count":0,"title":["Analyzing Code Text Strings for Code Evaluation"],"prefix":"10.1109","author":[{"given":"Tianyu","family":"Wang","sequence":"first","affiliation":[{"name":"Mercy University,Department of Math &#x0026; CS,Dobbs Ferry,NY"}]},{"given":"Zhixiong","family":"Chen","sequence":"additional","affiliation":[{"name":"Mercy University,Department of Math &#x0026; CS,Dobbs Ferry,NY"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Evaluating large language models trained on code","author":"Chen","year":"2021","journal-title":"arXiv preprint arXiv:2107.03374"},{"key":"ref2","article-title":"Program synthesis with large language models","author":"Austin","year":"2021","journal-title":"arXiv preprint arXiv:2108.07732"},{"key":"ref3","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref4","article-title":"Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models","author":"Sel","year":"2023","journal-title":"arXiv preprint arXiv:2308.10379"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.59"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.abq1158"},{"key":"ref7","article-title":"Measuring coding challenge competence with apps","author":"Hendrycks","year":"2021","journal-title":"arXiv preprint arXiv:2105.09938"},{"key":"ref8","article-title":"Codebleu: a method for automatic evaluation of code synthesis","author":"Ren","year":"2020","journal-title":"arXiv preprint arXiv:2009.10297"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2018.8330266"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2018.11.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/DSC.2016.33"},{"key":"ref13","article-title":"A survey on machine learning techniques for source code analysis","author":"Sharma","year":"2021","journal-title":"arXiv preprint arXiv:2110.09610"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2017.54"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3306446.3340828"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA.2018.8612819"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2019.00030"},{"issue":"2","key":"ref18","article-title":"Software maintainability prediction using machine learning algorithms","volume":"2","author":"Malhotra\u00b9","year":"2012","journal-title":"Software engineering: an international Journal (SeiJ)"},{"key":"ref19","first-page":"542","article-title":"Deep learning similarities from different representations of source code","volume-title":"2018 IEEE\/ACM 15th International Conference on Mining Software Repositories (MSR)","author":"Tufano"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25159-2_49"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3296979.3192412"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3290353"},{"key":"ref23","first-page":"1188","article-title":"Distributed representations of sentences and documents","volume-title":"International conference on machine learning","author":"Le"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/19393555.2020.1834650"},{"key":"ref25","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv preprint arXiv:1810.04805"},{"key":"ref26","article-title":"Comparing BERT against traditional machine learning text classification","author":"Gonz\u00e1lez-Carvajal","year":"2020","journal-title":"arXiv preprint arXiv:2005.13012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MSR52588.2021.00024"},{"key":"ref28","article-title":"Llama: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv preprint arXiv:2302.13971"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2023,12,15]]},"location":"Sorrento, Italy","end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386406.pdf?arnumber=10386406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T12:08:54Z","timestamp":1706011734000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386406\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386406","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}