Measuring software requirements specification quality

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 de...

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Main Authors:	Nordin, Azlin, Ahmad Zaidi, Nurul Husna, Mazlan, Noor Asheera
Format:	Article
Language:	English
Published:	Universiti Teknikal Malaysia Melaka 2017
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/59757/ http://irep.iium.edu.my/59757/ http://irep.iium.edu.my/59757/1/JTEC%202973-8006-1-SM.pdf

id	iium-59757
recordtype	eprints
spelling	iium-597572018-02-02T00:50:21Z http://irep.iium.edu.my/59757/ Measuring software requirements specification quality Nordin, Azlin Ahmad Zaidi, Nurul Husna Mazlan, Noor Asheera QA76 Computer software 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. Universiti Teknikal Malaysia Melaka 2017-11-10 Article PeerReviewed application/pdf en cc_by http://irep.iium.edu.my/59757/1/JTEC%202973-8006-1-SM.pdf 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 http://journal.utem.edu.my/index.php/jtec/article/view/2973
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Nordin, Azlin Ahmad Zaidi, Nurul Husna Mazlan, Noor Asheera Measuring software requirements specification quality
description	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.
format	Article
author	Nordin, Azlin Ahmad Zaidi, Nurul Husna Mazlan, Noor Asheera
author_facet	Nordin, Azlin Ahmad Zaidi, Nurul Husna Mazlan, Noor Asheera
author_sort	Nordin, Azlin
title	Measuring software requirements specification quality
title_short	Measuring software requirements specification quality
title_full	Measuring software requirements specification quality
title_fullStr	Measuring software requirements specification quality
title_full_unstemmed	Measuring software requirements specification quality
title_sort	measuring software requirements specification quality
publisher	Universiti Teknikal Malaysia Melaka
publishDate	2017
url	http://irep.iium.edu.my/59757/ http://irep.iium.edu.my/59757/ http://irep.iium.edu.my/59757/1/JTEC%202973-8006-1-SM.pdf
first_indexed	2023-09-18T21:24:40Z
last_indexed	2023-09-18T21:24:40Z
_version_	1777412111934160896

Measuring software requirements specification quality

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