Quality Measurement of Functional Requirements

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00367135" target="_blank" >RIV/68407700:21240/23:00367135 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5220/0012148700003538" target="_blank" >https://doi.org/10.5220/0012148700003538</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0012148700003538" target="_blank" >10.5220/0012148700003538</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quality Measurement of Functional Requirements

Popis výsledku v původním jazyce

In this contribution, we propose a metric to measure the quality of textual functional requirements specifications. Since the main problem of such requirements specifications is their ambiguity, incompleteness, and inconsistency, we developed textual patterns to reveal shortcomings in these properties. As a component of our analysis, we use not only the text of the requirements but also the UML model that we construct during the text analysis. Combining the results of part-of-speech tagging of the text and the modeled properties, we are able to identify a number of irregularities concerning the properties named above. Then, the text needs human intervention to correct or remove the suspicious formulations. As a measure of the requirements specification quality, we denote the number of necessary human interventions. We implemented a tool called TEMOS that can test ambiguity, incompleteness, and inconsistency, and we use its results to evaluate the quality of textual requirements. In this paper, we summarize our project results.

Název v anglickém jazyce

Quality Measurement of Functional Requirements

Popis výsledku anglicky

In this contribution, we propose a metric to measure the quality of textual functional requirements specifications. Since the main problem of such requirements specifications is their ambiguity, incompleteness, and inconsistency, we developed textual patterns to reveal shortcomings in these properties. As a component of our analysis, we use not only the text of the requirements but also the UML model that we construct during the text analysis. Combining the results of part-of-speech tagging of the text and the modeled properties, we are able to identify a number of irregularities concerning the properties named above. Then, the text needs human intervention to correct or remove the suspicious formulations. As a measure of the requirements specification quality, we denote the number of necessary human interventions. We implemented a tool called TEMOS that can test ambiguity, incompleteness, and inconsistency, and we use its results to evaluate the quality of textual requirements. In this paper, we summarize our project results.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 18th International Conference on Software Technologies

ISBN

978-989-758-665-1

ISSN

2184-2833

e-ISSN

—

Počet stran výsledku

8

Strana od-do

736-743

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Porto

Místo konání akce

Rome

Datum konání akce

10. 7. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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