Measuring software requirements specification quality

Nordin, Azlin and Ahmad Zaidi, Nurul Husna and Mazlan, Noor Asheera (2017) Measuring software requirements specification quality. Journal of Telecommunication Electronic and Computer Engineering, 9 (3-5). pp. 115-121. ISSN 2180-1843 E-ISSN 2289-8131

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Abstract

The quality of a Software Requirements Specification (SRS) is measured in terms of quality properties such as completeness, conciseness, consistency and understandability. In general, evaluation of the SRS quality is done manually during review sessions. The evaluation process, however, is hugely dependent on the expertise of human experts i.e. the reviewers. In fact, the judgment of the human experts could also be inconsistent due to various factors including experience, knowledge and domain. The objectives of this study are to (1) identify feasible rules to measure SRS quality; and (2) help requirements engineer to improve their SRS quality. In this study, we analyzed SRS quality properties from the literature and identified quality factors that are feasible to be automated. From here, we identified two types of properties that are (1) requirements sentence quality (RSQ) and (2) requirements document quality (RDQ). For each of the type, its relevant quality indicators were identified. From here, rules on how to identify the quality indicators were further investigated and documented. As a case study, we implemented SRS QualityChecker tool as a proof-of-concept for demonstrating how the rules were implemented to measure the SRS quality.

Item Type:	Article (Journal)
Additional Information:	5133/59757
Uncontrolled Keywords:	Measuring SRS Quality; Requirements; Document Quality; Requirements Review; Requirements Sentence Quality.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Azlin Nordin
Date Deposited:	05 Dec 2017 10:11
Last Modified:	02 Feb 2018 08:50
URI:	http://irep.iium.edu.my/id/eprint/59757

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