Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice-Reference-Cited by-同舟云学术

Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice

Published:2020-11-10 Issue:4 Volume:51 Page:798-823
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exper

Author:

Geist Verena¹^ORCID,Moser Michael¹,Pichler Josef²,Santos Rodolfo³,Wieser Volkmar³

Affiliation:

1. Software Analytics and Evolution Software Competence Center Hagenberg GmbH Hagenberg Austria

2. Department of Software Engineering University of Applied Sciences Upper Austria Hagenberg Austria

3. Knowledge‐Based Vision Systems Software Competence Center Hagenberg GmbH Hagenberg Austria

Funder

Österreichische Forschungsförderungsgesellschaft

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2933

Reference41 articles.

1. Van GeetJ EbraertP DemeyerS.Redocumentation of a legacy banking system: an experience report. Paper presented at: Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE). Antwerp Belgium;2010:33‐41.

2. DorningerB MoserM PichlerJ.Multi‐language re‐documentation to support a COBOL to Java migration project. Paper presented at: Proceedings of the 2017 IEEE 24th International Conference on Software Analysis Evolution and Reengineering (SANER). Klagenfurt Austria;2017:536‐540.

3. HenstorfKG KampffmeyerU ProchnowJ. Grundsätze der Verfahrungsdokumentation nach GoBS code of practice. Band 2.VOI Verband Organisations‐ und Informationssysteme e. V;1999.

4. Van DeursenA KuipersT. Building documentation generators. Paper presented at: Proceedings of the IEEE International Conference on Software Maintenance ‐ 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360). Oxford England;1999:40‐49.

5. MoserM PichlerJ FleckG WitlatschilM.RbG: a documentation generator for scientific and engineering software. Paper presented at: Proceedings of the 2015 IEEE 22nd International Conference on Software Analysis Evolution and Reengineering (SANER). Montreal QC Canada;2015:464‐468.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovating Industry With Research: eknows and Sysparency;IEEE Software;2024-05

2. On the design of an advanced business rule engine;Software: Practice and Experience;2022-06-21

3. Intelligent antiphishing framework to detect phishing scam: A hybrid classification approach;Software: Practice and Experience;2021-09-20

4. eknows: Platform for Multi-Language Reverse Engineering and Documentation Generation;2021 IEEE International Conference on Software Maintenance and Evolution (ICSME);2021-09

5. AI System Engineering—Key Challenges and Lessons Learned;Machine Learning and Knowledge Extraction;2020-12-31