Garousi, Vahid

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https://hdl.handle.net/20.500.14411/8468
Name Variants
Garousi-Yusifoglu, Vahid
G.,Vahid
G., Vahid
Garousi, Vahid
V.,Garousi
V., Garousi
Garousi,V.
Vahid, Garousi
Yusifoglu, Vahid Garousi
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Doçent Doktor
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Software Engineering
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Former Staff
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Scholarly Output

13

Articles

9

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1/0

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0

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0

WoS Citation Count

613

Scopus Citation Count

790

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10

Scopus h-index

11

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0

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0

WoS Citations per Publication

47.15

Scopus Citations per Publication

60.77

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3

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0

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Journal of Systems and Software4
Information and Software Technology3
ACM International Conference Proceeding Series -- 2014 International Conference on Software and Systems Process, ICSSP 2014 -- 26 May 2014 through 28 May 2014 -- Nanjing -- 1056081
CEUR Workshop Proceedings -- 9th Turkish National Software Engineering Symposium, UYMS 2015 -- 9 September 2015 through 11 September 2015 -- Izmir -- 1176651
17th International Conference on Evaluation and Assessment in software Engineering -- APR 14-16, 2013 -- Porto de Galinhas, BRAZIL1
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Author: Garousi,V.Subject: Software testing

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    Conference Object
    Citation - Scopus: 27
    When To Automate Software Testing? Decision Support Based on System Dynamics: an Industrial Case Study
    (Association for Computing Machinery, 2014) Sahaf,Z.; Garousi,V.; Pfahl,D.; Irving,R.; Amannejad,Y.
    Software test processes are complex and costly. To reduce testing effort without compromising effectiveness and product quality, automation of test activities has been adopted as a popular approach in software industry. However, since test automation usually requires substantial upfront investments, automation is not always more cost-effective than manual testing. To support decision-makers in finding the optimal degree of test automation in a given project, we propose in this paper a simulation model using the System Dynamics (SD) modeling technique. With the help of the simulation model, we can evaluate the performance of test processes with varying degrees of automation of test activities and help testers choose the most optimal cases. As the case study, we describe how we used our simulation model in the context of an Action Research (AR) study conducted in collaboration with a software company in Calgary, Canada. The goal of the study was to investigate how the simulation model can help decision-makers decide whether and to what degree the company should automate their test processes. As a first step, we compared the performances of the current fully manual testing with several cases of partly automated testing as anticipated for implementation in the partner company. The development of the simulation model as well as the analysis of simulation results helped the partner company to get a deeper understanding of the strengths and weaknesses of their current test process and supported decision-makers in the cost effective planning of improvements of selected test activities. © 2014 ACM.