Towards traceability management in continuous integration with SAT-analyzer

Rubasinghe, Iresha; Meedeniya, Dulani; Perera, Indika

doi:10.1145/3162957.3162985

Cited by 6 publications

(7 citation statements)

References 17 publications

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“…There is a strong relationship between the quality of the software developed and the agility of the organization to the DevOps practices of software development. Therefore, DevOps practices contribute to the enhancement of these software quality attributes within a continuous deployment process (I. D. Rubasinghe et al, 2017).…”

Section: Continuous Deploymentmentioning

confidence: 99%

“…This capability also permits a reduction in overall costs, shortens later testing cycles and ensures continuous feedback on quality (Nielsen et al, 2017). (Bai, Li, Pei, Li, & Ye, 2018b;Bucena & Kirikova, 2017;Chen, Kazman, Haziyev, Kropov, & Chtchourov, 2015;Cleveland et al, 2018;Colomo-Palacios et al, 2018;Croker & Hering, 2016;De Bayser et al, 2015;de França et al, 2016;Debois, 2011;Debroy et al, 2018;Düllmann et al, 2018;Fitzgerald & Stol, 2014;Hüttermann, 2012;Jabbari, bin Ali, Petersen, & Tanveer, 2016b;Kuusinen, Balakumar, Jepsen, & Larsen, 2018;Laukkarinen, Kuusinen, & Mikkonen, 2017Lewerentz et al, 2018;Mackey, 2018;Mansfield-Devine, 2018;Marijan, Liaaen, & Sen, 2018;Mohan & Ben Othmane, 2016;Molto, Caballer, Perez, Alfonso, & Blanquer, 2017;Moore et al, 2016;Palihawadana et al, 2017;Pang & Hindle, 2017;Punjabi & Bajaj, 2017;Rahman, Mahdavi-Hezaveh, & Williams, 2018;Rodríguez et al, 2018;I. D. Rubasinghe, Meedeniya, & Perera, 2017;I.…”

Section: Continuous Testingmentioning

confidence: 99%

“…Continuous Deployment (Ali, Caputo, & Lawless, 2017;Bass, 2017;Bhattacharjee, Barve, Gokhale, & Kuroda, 2018;Bucena & Kirikova, 2017;Chen et al, 2015;Cleveland et al, 2018;Debois, 2011;Debroy et al, 2018;Düllmann et al, 2018;Farshchi, Schneider, Weber, & Grundy, 2015;Fitzgerald & Stol, 2014;Fördős & Cesarini, 2016;Hüttermann, 2012;Jabbari et al, 2016b;Karapantelakis et al, 2016;Laukkarinen et al, 2018;Mackey, 2018;Mansfield-Devine, 2018;Mohan & Ben Othmane, 2016;Palihawadana et al, 2017;Pang & Hindle, 2017;Perera, Bandara, & Perera, 2017;Punjabi & Bajaj, 2017;Rahman et al, 2018;Rana & Staron, 2016;I. D. Rubasinghe et al, 2017;I.…”

Section: C2mentioning

confidence: 99%

“…Continuous Monitoring (Bai et al, 2018b;Bucena & Kirikova, 2017;Chen et al, 2015;de França et al, 2016;Debois, 2011;Düllmann et al, 2018;Fitzgerald & Stol, 2014;Hanappi, Hummer, & Dustdar, 2016;Hüttermann, 2012;John et al, 2015;Karapantelakis et al, 2016;Kuusinen et al, 2018;Li, Zhang, & Liu, 2017;Pang & Hindle, 2017;Perera, Bandara, et al, 2017;Rana & Staron, 2016;Roche, 2013;I. D. Rubasinghe et al, 2017;Rufino, Alam, & Ferreira, 2017;Sharma, 2017a;Shivakumar, 2017;Snyder & Curtis, 2017;Soni, 2016;Steffens et al, 2018b;Ur Rahman & Williams, 2016b;Vassallo et al, 2017)…”

Section: C3mentioning

confidence: 99%

“…Feedback Loops between Dev and Ops (Bucena & Kirikova, 2017;de Feijter et al, 2017;Debois, 2011;Debroy et al, 2018;Hanappi et al, 2016;Hüttermann, 2012;Jabbari et al, 2016b;John et al, 2015;Kuusinen et al, 2018;Nielsen et al, 2017;Pang & Hindle, 2017;Roche, 2013;Sharma, 2017a;Silva et al, 2018;St et al, 2017;Stoneham et al, 2016;Wongkampoo & Kiattisin, 2018) C6 Infrastructure as code (Bhattacharjee et al, 2018;Bucena & Kirikova, 2017;De Bayser et al, 2015;de França et al, 2016;Debois, 2011;Debroy et al, 2018;Düllmann et al, 2018;Fördős & Cesarini, 2016;Hüttermann, 2012;Jabbari et al, 2016b;Jimenez et al, 2017;Rahman et al, 2018;Rana & Staron, 2016;Shahin et al, 2016;Sharma, 2017a;Steffens et al, 2018bSteffens et al, , 2018a C7 Change Management (Abdelkebir, Maleh, & Belaissaoui, 2017;Debois, 2011;Hüttermann, 2012;Jabbari et al, 2016a;Mohamed, 2015;I. D. Rubasinghe et al, 2017;Science & Sciences, 2015;…”

Section: C5mentioning

confidence: 99%

See 4 more Smart Citations

A Systematic Literature Review on DevOps Capabilities and Areas

Teixeira¹,

Pereira²,

Henriques³

et al. 2020

International Journal of Human Capital and Information Technology Professionals

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Businesses today need to respond to customer needs at an unprecedented speed. Driven by this need for speed, many companies are rushing to the DevOps movement. DevOps, the combination of development and operations, is a new way of thinking in the software engineering domain that recently received much attention. Since DevOps has recently been introduced as a new term and novel concept, no common understanding of what it means has yet been achieved. Therefore, the definitions of DevOps often are only a part relevant to the concept. This research presents a systematic literature review to identify the determining factors contributing to the implementation of DevOps, including the main capabilities and areas with which it evolves.

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Section: Continuous Deploymentmentioning

confidence: 99%

Section: Continuous Testingmentioning

confidence: 99%

Section: C2mentioning

confidence: 99%

Section: C3mentioning

confidence: 99%

Section: C5mentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Literature Review on DevOps Capabilities and Areas

Teixeira¹,

Pereira²,

Henriques³

et al. 2020

International Journal of Human Capital and Information Technology Professionals

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Software Artefact Traceability Analyser

Rubasinghe

Meedeniya

Perera

2018

Proceedings of the 6th International Conference on Communications and Broadband Networking

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AVIATE: Exploiting Translation Variants of Artifacts to Improve IR-based Traceability Recovery in Bilingual Software Projects

Sun,

Ren,

Kuang

et al. 2024

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

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Traceability plays a vital role in facilitating various software development activities by establishing the traces between different types of artifacts (e.g., issues and commits in software repositories). Among the explorations for automated traceability recovery, the IR (Information Retrieval)-based approaches leverage textual similarity to measure the likelihood of traces between artifacts and show advantages in many scenarios. However, the globalization of software development has introduced new challenges, such as the possible multilingualism on the same concept (e.g., "属性" vs. "attribute") in the artifact texts, thus significantly hampering the performance of IR-based approaches. Existing research has shown that machine translation can help address the term inconsistency in bilingual projects. However, the translation can also bring in synonymous terms that are not consistent with those in the bilingual projects (e.g., another translation of "属性" as "property"). Therefore, we propose an enhancement strategy called AVIATE that exploits translation variants from different translators by utilizing the word pairs that appear simultaneously across the translation variants from different kinds artifacts (a.k.a. consensual biterms). We use these biterms to first enrich the artifact texts, and then to enhance the calculated IR values for improving IR-based traceability recovery for bilingual software projects.

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Towards traceability management in continuous integration with SAT-analyzer

Cited by 6 publications

References 17 publications

A Systematic Literature Review on DevOps Capabilities and Areas

A Systematic Literature Review on DevOps Capabilities and Areas

Software Artefact Traceability Analyser

AVIATE: Exploiting Translation Variants of Artifacts to Improve IR-based Traceability Recovery in Bilingual Software Projects

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