A framework to measure and improve the quality of textual requirements

Génova, Gonzalo; Fuentes, José Miguel; Lloréns, Juan; Hurtado, Omar; Moreno, Valentín

doi:10.1007/s00766-011-0134-z

Cited by 94 publications

(85 citation statements)

References 17 publications

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“…In contrast to [23,27,44,50,51], but in accordance with the present paper, the works [2,3,28,29] describe formally founded support for RE. Similar to the present paper, the works [3,28] both focus on establishing trace links between requirements and design/architecture.…”

Section: Related Worksupporting

confidence: 84%

“…There are also other works [23,27,44] that focus on providing feedback-and/or guidance-driven tool support for specification, albeit with a fundamentally different approach from the present paper. That is, in contrast to the present paper where support is provided by enforcing formal conditions, the works in [23,27,44] rely on natural language (NL) processing to provide feedback and guidance on requirements represented in NL considering, e.g., text length and terms usage with respect to a domain ontology/dictionary.…”

Section: Related Workmentioning

confidence: 95%

“…That is, in contrast to the present paper where support is provided by enforcing formal conditions, the works in [23,27,44] rely on natural language (NL) processing to provide feedback and guidance on requirements represented in NL considering, e.g., text length and terms usage with respect to a domain ontology/dictionary. Hence, while the approach in [23,27,44] improves readability of requirements, the approach in the present paper enforces their correctness, and thus, the approaches complement each other. NL processing is also used in [50,51] to automatically cluster and create trace links between requirements.…”

Section: Related Workmentioning

confidence: 96%

See 2 more Smart Citations

Providing tool support for specifying safety-critical systems by enforcing syntactic contract conditions

Westman

Nyberg

2017

Requirements Eng

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Functional safety standards such as IEC 61508 and ISO 26262 advocate a particularly stringent requirements engineering where safety requirements must be structured in a hierarchical manner and specified in accordance with the system architecture. In contrast to the stringent requirements engineering in functional safety standards, according to previous studies, requirements engineering in industry is in general of poor quality. Contracts theory has been previously shown to be suitable for supporting such a stringent requirements engineering effort; this support has also been implemented in tools. However, to use these contract-based tools, requirements must be formalized, which is a major challenge in industry. Therefore, to support current industrial requirements engineering practice and the stringent requirements engineering in functional safety standards, it is shown how tool support can be provided even when requirements, and also architectures, are not formalized. This is achieved by enforcing syntactic, yet formal, conditions in contracts theory. Despite the need for further validation, initial findings in an industrial case study indicate high potential in realizing the proposed support in an industrial setting.

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Section: Related Worksupporting

confidence: 84%

Section: Related Workmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 96%

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Providing tool support for specifying safety-critical systems by enforcing syntactic contract conditions

Westman

Nyberg

2017

Requirements Eng

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“…Few articles broach the topic of contradictions in natural language [7,10]. However, much research attempts to diagnose quality defects by using NLP and text mining techniques [11][12][13][14][15][16][17]. Recent work has been done to classify requirements thanks to machine learning [18] or linguistics analysis [16].…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Requirement Mining Framework to Support OEMs

Pinquié

Véron

Segonds

et al. 2015

Lecture Notes in Computer Science

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract. With the fastidiously ever-increasing complexity of systems, the relentless, massive customisation of products and the mushrooming accumulation of legal documents (standards, policies and laws), we can observe a significant increase in requirements. We consider the tremendous volume of requirements as big data with which companies struggle to make strategic decisions early on. This paper proposes a collaborative requirement mining framework to enable the decision-makers of an Original Equipment Manufacturer (OEM) to gain insight and discover opportunities in a massive set of requirements so as to make early effective strategic decisions. The framework supports OEMs willing to uncover a subset of key requirements by distilling large unstructured and semi-structured specifications.

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“…There is some evidence that correctly specified requirements contribute to a higher software product quality [10,21,22]. The question is: does the same hold for JIT requirements?…”

Section: Introductionmentioning

confidence: 99%

A framework for quality assessment of just-in-time requirements: the case of open source feature requests

Heck

Zaidman

2016

Requirements Eng

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Until now quality assessment of requirements has focused on traditional up-front requirements. Contrasting these traditional requirements are just-in-time (JIT) requirements, which are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of 'correctness'. We analyze how the assessment of JIT requirements quality should be performed based on literature of traditional and JIT requirements. Based on that analysis, we have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We also indicate how the framework can be instantiated for other types of JIT requirements.We have performed an initial evaluation of our framework for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Subsequently, we have used our framework to assess 550 feature requests originating from three open source software systems (Netbeans, ArgoUML and Mylyn Tasks). In doing so, we obtain a view on the feature request quality for the three open source projects.The value of our framework is three-fold: 1) it gives an overview of quality criteria that are applicable to feature requests (at creation-time or just-in-time); 2) it serves as a structured basis for teams that need to assess the quality of their JIT requirements; 3) it provides a way to get an insight into the quality of JIT requirements in existing projects.

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A framework to measure and improve the quality of textual requirements

Cited by 94 publications

References 17 publications

Providing tool support for specifying safety-critical systems by enforcing syntactic contract conditions

Providing tool support for specifying safety-critical systems by enforcing syntactic contract conditions

A Collaborative Requirement Mining Framework to Support OEMs

A framework for quality assessment of just-in-time requirements: the case of open source feature requests

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