Measuring and improving testability of system requirements in an industrial context by applying the goal question metric approach

Testing is subject to two basic constraints, namely cost and quality. The cost depends on the efficiency of the testing activities as well as their quality and testability. The author's practical experience in large-scale systems shows that if the requirements are adapted iteratively or the arc...

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Bibliographic Details
Published in:2018 IEEE ACM 5th International Workshop on Requirements Engineering and Testing (RET) pp. 25 - 32
Main Authors: Beer, Armin, Felderer, Michael
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 02.06.2018
Series:ACM Conferences
Subjects:
ISBN:9781450357494, 1450357490
Online Access:Get full text
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Summary:Testing is subject to two basic constraints, namely cost and quality. The cost depends on the efficiency of the testing activities as well as their quality and testability. The author's practical experience in large-scale systems shows that if the requirements are adapted iteratively or the architecture is altered, testability decreases. However, what is often lacking is a root cause analysis of the testability degradations and the introduction of improvement measures during software development. In order to introduce agile practices in the rigid strategy of the V-model, good testability of software artifacts is vital. So testability is also the bridgehead towards agility. In this paper, we report on a case study in which we measure and improve testability on the basis of the Goal Question Metric Approach.
ISBN:9781450357494
1450357490
DOI:10.1145/3195538.3195542