How to Complete Customer Requirements

Geierhos, Michaela; Bäumer, Frederik Simon

doi:10.1007/978-3-319-41754-7_4

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…Moreover, certain studies, such as Jonas et al 24 and Geierhos et al, 25 focus on semantic completeness detection in single requirements rather than detecting missing functions in the requirement set. Igor et al 26 attempted to verify documents based on the completeness of requirements, especially the software requirements specifications, and focused on the completeness of information type rather than functional information.…”

Section: Background and Related Workmentioning

confidence: 99%

Usefulness of open domain model for identifying missing software requirements concepts

Zhao,

Zhang,

Lian

2023

Softw Pract Exp

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SummaryDetecting missing requirements during software development is crucial to avoid unexpected consequences. However, this task is challenging due to limited domain knowledge of requirements analysts and the dynamic nature of software requirements. Previous studies have shown that requirement‐oriented domain models can help identify omissions in requirements, but they are often incomplete for many domains. Meanwhile, domain models constructed from other artifacts are available online. This raises the question: Can these domain models be useful in identifying missing functional information in requirement specifications? To address this question, we conducted a study to measure the overlap between entities in domain models and requirements. We analyzed the occurrence of overlapped entities, considering four distribution characteristics: the type of entities in the domain model, the distribution of mapped entities in the domain model, the family belonging of the mapped entities in the domain model, and the distribution of mapped entities in the requirements. Based on our findings, we proposed recommendations for missing requirements. Additionally, we performed experiments, including the use of the proposed metric “ancestors of the highest level with the most mapped entities” (AHME). The results showed significant improvements with gains of 146% and 223% in the two domains, highlighting the benefits of these distribution characteristics.

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Section: Background and Related Workmentioning

confidence: 99%

Usefulness of open domain model for identifying missing software requirements concepts

Zhao,

Zhang,

Lian

2023

Softw Pract Exp

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show abstract

“…But the approaches on completeness validation or missing information detection is not involved. On the other hand, Geierhos et al [17] are concerned about the existing but incomplete single user requirements, especially the semantically incomplete predicate part. Igor et al [29] studied the completeness assessment method of requirements documents (especially the software requirements speci-fications), focusing on the completeness of information types rather than functional information.…”

Section: Related Workmentioning

confidence: 99%

A Preliminary Study on the Potential Usefulness of Open Domain Model for Missing Software Requirements Recommendation

Zhao¹,

Zhang²,

Lian³

2022

Preprint

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Completeness is one of the most important attributes of software requirement specifications. Unfortunately, incompleteness is meanwhile one of the most difficult problems to detect. Some approaches have been proposed to detect missing requirements based on the requirement-oriented domain model. However, this kind of models are lacking for lots of domains. Fortunately, the domain models constructed for different purposes can usually be found online. This raises a question: whether or not these domain models are helpful in finding the missing functional information in requirement specification? To explore this question, we design and conduct a preliminary study by computing the overlapping rate between the entities in domain models and the concepts of natural language software requirements and then digging into four regularities of the occurrence of these entities(concepts) based on two example domains. The usefulness of these regularities, especially the one based on our proposed metric AHME (with F 2 gains of 146% and 223% on the two domains than without any regularity), has been shown in experiments.

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NLP in OTF Computing: Current Approaches and Open Challenges

Bäumer

Geierhos

2018

Communications in Computer and Information Science

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How to Complete Customer Requirements

Cited by 7 publications

References 20 publications

Usefulness of open domain model for identifying missing software requirements concepts

Usefulness of open domain model for identifying missing software requirements concepts

A Preliminary Study on the Potential Usefulness of Open Domain Model for Missing Software Requirements Recommendation

NLP in OTF Computing: Current Approaches and Open Challenges

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