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Automatic Identification of Code Smell Discussions on Stack Overflow: A Preliminary Investigation.

, , , and . ESEM, page 34:1-34:6. ACM, (2020)

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On the Soundness of Call Graph Construction in the Presence of Dynamic Language Features - A Benchmark and Tool Evaluation., , , , and . APLAS, volume 11275 of Lecture Notes in Computer Science, page 69-88. Springer, (2018)An Empirical Study into the Relationship Between Class Features and Test Smells., , and . APSEC, page 137-144. IEEE Computer Society, (2016)Please Help! A Preliminary Study on the Effect of Social Proof and Legitimization of Paltry Contributions in Donations to OSS., , and . SANER, page 609-613. IEEE, (2019)Laughter in the Wild: A Study Into DoS Vulnerabilities in YAML Libraries., , and . TrustCom/BigDataSE, page 342-349. IEEE, (2019)A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites., , , , and . Inf. Softw. Technol., (2020)Where the Bugs are: A Quasi-replication Study of the Effect of Inheritance Depth and Width in Java Systems., , and . QUATIC, volume 1439 of Communications in Computer and Information Science, page 459-472. Springer, (2021)A study of single statement bugs involving dynamic language features., , , and . ICPC, page 494-498. ACM, (2022)Building Defect Prediction Models by Online Learning Considering Defect Overlooking., , , , , , , and . CoRR, (2024)Understanding Class-level Testability Through Dynamic Analysis., , and . ENASE, page 38-47. SciTePress, (2014)Understanding Code Smell Detection via Code Review: A Study of the OpenStack Community., , , , and . ICPC, page 323-334. IEEE, (2021)