Risk based testing of open source software (OSS)

Inbal Yahav; Ron S. Kenett; Xiaoying Bai

doi:10.1109/COMPSACW.2014.107

Risk based testing of open source software (OSS)

Inbal Yahav, Ron S. Kenett, Xiaoying Bai

School of Business Administration

Bar-Ilan University

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

Abstract

Open Source Software (OSS) has become a strategic asset for a number of reasons, such as its short time-to-market software service and product delivery, reduced development and maintenance costs, introduction of innovative features and its customization capabilities. By 2016 an estimated 95% of all commercial software packages will include OSS components. This pervasive adoption is not without risks for an industry that has experienced significant failures in product quality, timelines and delivery costs. Exhaustive testing of any software system and, specifically, of open source software components is usually not feasible due to limitations in time and resources. In risk-based testing approach test cases are selected and scheduled based on software risk analysis. This research introduces the strategy of risk-based adaptive testing of OSS by combining information on the OSS community ecosystem with risk-driven tests selection and scheduling strategy. A key feature of the proposed approach is the monitoring and analysis of OSS community dynamics, including chats and email communications, blogs, repositories of bugs and fixes, and more. The community and its dynamics are then monitored to detect anomaly communication between the community members. Our approach is demonstrated in the XWiki OSS, a Java-based environment that allows for the storing of structured data and the execution of server side scripts within the wiki interface. We illustrate our concepts, methods and approach behind risk based testing.

Original language	English
Title of host publication	Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014
Editors	Cristina Seceleanu, Bruce McMillin, Carl K. Chang, Yan Gao, Kenichi Yoshida, Ali Hurson, Yasuo Okabe, Mihhail Matskin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	638-643
Number of pages	6
ISBN (Electronic)	9781479935789
DOIs	https://doi.org/10.1109/COMPSACW.2014.107
State	Published - 18 Sep 2014
Event	38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014 - Vasteras, Sweden Duration: 27 Jul 2014 → 29 Jul 2014

Publication series

Name	Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014

Conference

Conference	38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014
Country/Territory	Sweden
City	Vasteras
Period	27/07/14 → 29/07/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Open Source Software
Risk
Social Networks
Testing
XWiki

All Science Journal Classification (ASJC) codes

Computer Science Applications
Software

Access to Document

10.1109/COMPSACW.2014.107

Cite this

Yahav, I., Kenett, R. S., & Bai, X. (2014). Risk based testing of open source software (OSS). In C. Seceleanu, B. McMillin, C. K. Chang, Y. Gao, K. Yoshida, A. Hurson, Y. Okabe, & M. Matskin (Eds.), Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014 (pp. 638-643). Article 6903203 (Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPSACW.2014.107

Yahav, Inbal ; Kenett, Ron S. ; Bai, Xiaoying. / Risk based testing of open source software (OSS). Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014. editor / Cristina Seceleanu ; Bruce McMillin ; Carl K. Chang ; Yan Gao ; Kenichi Yoshida ; Ali Hurson ; Yasuo Okabe ; Mihhail Matskin. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 638-643 (Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014).

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title = "Risk based testing of open source software (OSS)",

abstract = "Open Source Software (OSS) has become a strategic asset for a number of reasons, such as its short time-to-market software service and product delivery, reduced development and maintenance costs, introduction of innovative features and its customization capabilities. By 2016 an estimated 95\% of all commercial software packages will include OSS components. This pervasive adoption is not without risks for an industry that has experienced significant failures in product quality, timelines and delivery costs. Exhaustive testing of any software system and, specifically, of open source software components is usually not feasible due to limitations in time and resources. In risk-based testing approach test cases are selected and scheduled based on software risk analysis. This research introduces the strategy of risk-based adaptive testing of OSS by combining information on the OSS community ecosystem with risk-driven tests selection and scheduling strategy. A key feature of the proposed approach is the monitoring and analysis of OSS community dynamics, including chats and email communications, blogs, repositories of bugs and fixes, and more. The community and its dynamics are then monitored to detect anomaly communication between the community members. Our approach is demonstrated in the XWiki OSS, a Java-based environment that allows for the storing of structured data and the execution of server side scripts within the wiki interface. We illustrate our concepts, methods and approach behind risk based testing.",

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Yahav, I, Kenett, RS & Bai, X 2014, Risk based testing of open source software (OSS). in C Seceleanu, B McMillin, CK Chang, Y Gao, K Yoshida, A Hurson, Y Okabe & M Matskin (eds), Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014., 6903203, Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014, Institute of Electrical and Electronics Engineers Inc., pp. 638-643, 38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014, Vasteras, Sweden, 27/07/14. https://doi.org/10.1109/COMPSACW.2014.107

Risk based testing of open source software (OSS). / Yahav, Inbal; Kenett, Ron S.; Bai, Xiaoying.
Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014. ed. / Cristina Seceleanu; Bruce McMillin; Carl K. Chang; Yan Gao; Kenichi Yoshida; Ali Hurson; Yasuo Okabe; Mihhail Matskin. Institute of Electrical and Electronics Engineers Inc., 2014. p. 638-643 6903203 (Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014).

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

TY - GEN

T1 - Risk based testing of open source software (OSS)

AU - Yahav, Inbal

AU - Kenett, Ron S.

AU - Bai, Xiaoying

PY - 2014/9/18

Y1 - 2014/9/18

N2 - Open Source Software (OSS) has become a strategic asset for a number of reasons, such as its short time-to-market software service and product delivery, reduced development and maintenance costs, introduction of innovative features and its customization capabilities. By 2016 an estimated 95% of all commercial software packages will include OSS components. This pervasive adoption is not without risks for an industry that has experienced significant failures in product quality, timelines and delivery costs. Exhaustive testing of any software system and, specifically, of open source software components is usually not feasible due to limitations in time and resources. In risk-based testing approach test cases are selected and scheduled based on software risk analysis. This research introduces the strategy of risk-based adaptive testing of OSS by combining information on the OSS community ecosystem with risk-driven tests selection and scheduling strategy. A key feature of the proposed approach is the monitoring and analysis of OSS community dynamics, including chats and email communications, blogs, repositories of bugs and fixes, and more. The community and its dynamics are then monitored to detect anomaly communication between the community members. Our approach is demonstrated in the XWiki OSS, a Java-based environment that allows for the storing of structured data and the execution of server side scripts within the wiki interface. We illustrate our concepts, methods and approach behind risk based testing.

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KW - Risk

KW - Social Networks

KW - Testing

KW - XWiki

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M3 - منشور من مؤتمر

T3 - Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014

SP - 638

EP - 643

BT - Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014

A2 - Seceleanu, Cristina

A2 - McMillin, Bruce

A2 - Chang, Carl K.

A2 - Gao, Yan

A2 - Yoshida, Kenichi

A2 - Hurson, Ali

A2 - Okabe, Yasuo

A2 - Matskin, Mihhail

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2014

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ER -

Yahav I, Kenett RS, Bai X. Risk based testing of open source software (OSS). In Seceleanu C, McMillin B, Chang CK, Gao Y, Yoshida K, Hurson A, Okabe Y, Matskin M, editors, Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 638-643. 6903203. (Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014). doi: 10.1109/COMPSACW.2014.107

Risk based testing of open source software (OSS)

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this