Problem of Incompleteness in Textual Requirements Specification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00333416" target="_blank" >RIV/68407700:21240/19:00333416 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=w7bk3BzHCwE=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=w7bk3BzHCwE=&t=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0007978003230330" target="_blank" >10.5220/0007978003230330</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Problem of Incompleteness in Textual Requirements Specification

Popis výsledku v původním jazyce

In this contribution, we investigate the incompleteness problem in textual requirements specifications. Incompleteness is a typical problem that arises when stakeholders (e.g., domain experts) hold some information for generally known, and they do not mention it to the analyst. A model based on the incomplete requirements suffers from missing objects, properties, or relationships as we show in an illustrating example. Our presented methods are based on grammatical inspection, semantic networks (ConceptNet and BabelNet), and pre-configured data from on-line dictionaries. Additionally, we show how a domain model has to be used to reveal some missing parts of it. Our experiments have shown that the precision of our methods is about 60–82 %.

Název v anglickém jazyce

Problem of Incompleteness in Textual Requirements Specification

Popis výsledku anglicky

In this contribution, we investigate the incompleteness problem in textual requirements specifications. Incompleteness is a typical problem that arises when stakeholders (e.g., domain experts) hold some information for generally known, and they do not mention it to the analyst. A model based on the incomplete requirements suffers from missing objects, properties, or relationships as we show in an illustrating example. Our presented methods are based on grammatical inspection, semantic networks (ConceptNet and BabelNet), and pre-configured data from on-line dictionaries. Additionally, we show how a domain model has to be used to reveal some missing parts of it. Our experiments have shown that the precision of our methods is about 60–82 %.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 14th International Conference on Software Technologies

ISBN

978-989-758-379-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

323-330

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Porto

Místo konání akce

Praha

Datum konání akce

26. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000572825100033