Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Hui Gao; Hongyu Kuang; Sun Kexin; Xiaoxing Ma; Alexander Egyed; Patrick Mäder; Guoping Rong; Dong Shao; He Zhang

doi:10.1145/3551349.3556948

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Hui Gao
, Hongyu Kuang
, Sun Kexin
, Xiaoxing Ma
, Alexander Egyed
, Patrick Mäder
, Guoping Rong
, Dong Shao
, He Zhang

Institute of Software Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We summarize the paper Maintaining Consistency across Engineering Artifacts, published at IEEE Computer 51(2), pp. 28-35, 2018. Detecting inconsistencies across multi-domain and multi-tool artifacts is an important and critical task. Inconsistencies may lead to project failures, cost, and schedule overrun - especially when identified incorrectly or late. The paper we summarize explores a technology for consistency checking that is able to automatically and continuously detect inconsistencies - both among knowledge within and across engineering tools.

Original language	English
Title of host publication	37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA
Editors	Mario Aehnelt, Thomas Kirste
Publisher	ACM
Pages	114:1
Number of pages	1
Volume	13478
ISBN (Electronic)	9781450396240
ISBN (Print)	978-1-59593-882-4
DOIs	https://doi.org/10.1145/3551349.3556948
Publication status	Published - 19 Sept 2022

Publication series

Name	ACM International Conference Proceeding Series

Fields of science

102 Computer Sciences
102022 Software development

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3551349.3556948

Cite this

Gao, H., Kuang, H., Kexin, S., Ma, X., Egyed, A., Mäder, P., Rong, G., Shao, D., & Zhang, H. (2022). Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. In M. Aehnelt, & T. Kirste (Eds.), 37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA (Vol. 13478, pp. 114:1). Article 114 (ACM International Conference Proceeding Series). ACM. https://doi.org/10.1145/3551349.3556948

Gao, Hui ; Kuang, Hongyu ; Kexin, Sun et al. / Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. 37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA. editor / Mario Aehnelt ; Thomas Kirste. Vol. 13478 ACM, 2022. pp. 114:1 (ACM International Conference Proceeding Series).

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title = "Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery",

abstract = "We summarize the paper Maintaining Consistency across Engineering Artifacts, published at IEEE Computer 51(2), pp. 28-35, 2018. Detecting inconsistencies across multi-domain and multi-tool artifacts is an important and critical task. Inconsistencies may lead to project failures, cost, and schedule overrun - especially when identified incorrectly or late. The paper we summarize explores a technology for consistency checking that is able to automatically and continuously detect inconsistencies - both among knowledge within and across engineering tools.",

author = "Hui Gao and Hongyu Kuang and Sun Kexin and Xiaoxing Ma and Alexander Egyed and Patrick M{\"a}der and Guoping Rong and Dong Shao and He Zhang",

year = "2022",

month = sep,

day = "19",

doi = "10.1145/3551349.3556948",

language = "English",

isbn = "978-1-59593-882-4",

volume = "13478",

series = "ACM International Conference Proceeding Series",

publisher = "ACM",

pages = "114:1",

editor = "Mario Aehnelt and Thomas Kirste",

booktitle = "37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA",

}

Gao, H, Kuang, H, Kexin, S, Ma, X, Egyed, A, Mäder, P, Rong, G, Shao, D & Zhang, H 2022, Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. in M Aehnelt & T Kirste (eds), 37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA. vol. 13478, 114, ACM International Conference Proceeding Series, ACM, pp. 114:1. https://doi.org/10.1145/3551349.3556948

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. / Gao, Hui; Kuang, Hongyu; Kexin, Sun et al.
37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA. ed. / Mario Aehnelt; Thomas Kirste. Vol. 13478 ACM, 2022. p. 114:1 114 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AU - Gao, Hui

AU - Kuang, Hongyu

AU - Kexin, Sun

AU - Ma, Xiaoxing

AU - Egyed, Alexander

AU - Mäder, Patrick

AU - Rong, Guoping

AU - Shao, Dong

AU - Zhang, He

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N2 - We summarize the paper Maintaining Consistency across Engineering Artifacts, published at IEEE Computer 51(2), pp. 28-35, 2018. Detecting inconsistencies across multi-domain and multi-tool artifacts is an important and critical task. Inconsistencies may lead to project failures, cost, and schedule overrun - especially when identified incorrectly or late. The paper we summarize explores a technology for consistency checking that is able to automatically and continuously detect inconsistencies - both among knowledge within and across engineering tools.

AB - We summarize the paper Maintaining Consistency across Engineering Artifacts, published at IEEE Computer 51(2), pp. 28-35, 2018. Detecting inconsistencies across multi-domain and multi-tool artifacts is an important and critical task. Inconsistencies may lead to project failures, cost, and schedule overrun - especially when identified incorrectly or late. The paper we summarize explores a technology for consistency checking that is able to automatically and continuously detect inconsistencies - both among knowledge within and across engineering tools.

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VL - 13478

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BT - 37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA

A2 - Aehnelt, Mario

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PB - ACM

ER -

Gao H, Kuang H, Kexin S, Ma X, Egyed A, Mäder P et al. Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. In Aehnelt M, Kirste T, editors, 37th International Conference on Automated Software Engineering (ASE) Rochester, MI, USA. Vol. 13478. ACM. 2022. p. 114:1. 114. (ACM International Conference Proceeding Series). doi: 10.1145/3551349.3556948

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Integration of Validation into a Refinement-based Rigorous Development Process (IVOIRE)

Multi-View Consistency Checking (MCCC)

Cite this

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Integration of Validation into a Refinement-based Rigorous Development Process (IVOIRE)

Multi-View Consistency Checking (MCCC)

Cite this