Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method

Justus Bogner; Stefan Wagner; Alfred Zimmermann

Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method

Justus Bogner, Stefan Wagner, Alfred Zimmermann

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

Abstract

Scenario-based analysis is a comprehensive technique to evaluate software quality and can provide more detailed insights than e.g. maintainability metrics. Since such methods typically require significant manual effort, we designed a lightweight scenario-based evolvability evaluation method. To increase efficiency and to limit assumptions, the method exclusively targets service- and microservice-based systems. Additionally, we implemented web-based tool support for each step. Method and tool were also evaluated with a survey (N=40) that focused on change effort estimation techniques and hands-on interviews (N=7) that focused on usability. Based on the evaluation results, we improved method and tool support further. To increase reuse and transparency, the web-based application as well as all survey and interview artifacts are publicly available on GitHub. In its current state, the tool-supported method is ready for first industry case studies.

Original language	English
Title of host publication	ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering
Editors	R. Ali, H. Kaindl, L. Maciaszek
Publisher	SciTePress
Pages	204-215
ISBN (Electronic)	9789897584213
Publication status	Published - 2020
Externally published	Yes
Event	15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 - Virtual, Online Duration: 5 May 2020 → 6 May 2020

Conference

Conference	15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020
City	Virtual, Online
Period	5/05/20 → 6/05/20

Funding

We kindly thank Patrick Koss for his support with the empirical studies and implementation work. Similarly, we thank Gerhard Breul for his support with method design and tool implementation. This research was partially funded by the Ministry of Science of Baden-Württemberg, Germany, for the doctoral program Services Computing5.

Funders	Funder number
Ministry of Science of Baden-Württemberg

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@inproceedings{891d3cb7cefa47eaad1831a2fc01370a,

title = "Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method",

abstract = "Scenario-based analysis is a comprehensive technique to evaluate software quality and can provide more detailed insights than e.g. maintainability metrics. Since such methods typically require significant manual effort, we designed a lightweight scenario-based evolvability evaluation method. To increase efficiency and to limit assumptions, the method exclusively targets service- and microservice-based systems. Additionally, we implemented web-based tool support for each step. Method and tool were also evaluated with a survey (N=40) that focused on change effort estimation techniques and hands-on interviews (N=7) that focused on usability. Based on the evaluation results, we improved method and tool support further. To increase reuse and transparency, the web-based application as well as all survey and interview artifacts are publicly available on GitHub. In its current state, the tool-supported method is ready for first industry case studies.",

author = "Justus Bogner and Stefan Wagner and Alfred Zimmermann",

year = "2020",

language = "English",

pages = "204--215",

editor = "R. Ali and H. Kaindl and L. Maciaszek",

booktitle = "ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering",

publisher = "SciTePress",

note = "15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 ; Conference date: 05-05-2020 Through 06-05-2020",

}

Bogner, J, Wagner, S & Zimmermann, A 2020, Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method. in R Ali, H Kaindl & L Maciaszek (eds), ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. SciTePress, pp. 204-215, 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, Virtual, Online, 5/05/20.

Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method. / Bogner, Justus; Wagner, Stefan; Zimmermann, Alfred.
ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. ed. / R. Ali; H. Kaindl; L. Maciaszek. SciTePress, 2020. p. 204-215.

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

TY - GEN

T1 - Scenario-based evolvability analysis of service-oriented systems

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AU - Wagner, Stefan

AU - Zimmermann, Alfred

PY - 2020

Y1 - 2020

N2 - Scenario-based analysis is a comprehensive technique to evaluate software quality and can provide more detailed insights than e.g. maintainability metrics. Since such methods typically require significant manual effort, we designed a lightweight scenario-based evolvability evaluation method. To increase efficiency and to limit assumptions, the method exclusively targets service- and microservice-based systems. Additionally, we implemented web-based tool support for each step. Method and tool were also evaluated with a survey (N=40) that focused on change effort estimation techniques and hands-on interviews (N=7) that focused on usability. Based on the evaluation results, we improved method and tool support further. To increase reuse and transparency, the web-based application as well as all survey and interview artifacts are publicly available on GitHub. In its current state, the tool-supported method is ready for first industry case studies.

AB - Scenario-based analysis is a comprehensive technique to evaluate software quality and can provide more detailed insights than e.g. maintainability metrics. Since such methods typically require significant manual effort, we designed a lightweight scenario-based evolvability evaluation method. To increase efficiency and to limit assumptions, the method exclusively targets service- and microservice-based systems. Additionally, we implemented web-based tool support for each step. Method and tool were also evaluated with a survey (N=40) that focused on change effort estimation techniques and hands-on interviews (N=7) that focused on usability. Based on the evaluation results, we improved method and tool support further. To increase reuse and transparency, the web-based application as well as all survey and interview artifacts are publicly available on GitHub. In its current state, the tool-supported method is ready for first industry case studies.

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M3 - Conference contribution

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PB - SciTePress

Y2 - 5 May 2020 through 6 May 2020

ER -

Scenario-based evolvability analysis of service-oriented systems: A lightweight and tool-supported method

Abstract

Conference

Funding

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