Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86089127" target="_blank" >RIV/61989100:27240/14:86089127 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86089127

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-01781-5_4" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-01781-5_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-01781-5_4" target="_blank" >10.1007/978-3-319-01781-5_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters

Popis výsledku v původním jazyce

Many decisions that are needed for the planning of the software development project are based on previous experience and competency of project manager. One of the most important questions is how much effort will be necessary to complete the task. In our case, the task is described by the use case and manger has to estimate the effort to implement it. However, such estimations are not always correct, not estimated extra work has to be done sometimes. Our intent is to support manager's decision by the estimation tool that uses know parameters of the use cases to predict other parameters that has to be estimated. This paper focuses on the usage of our method on the real data and evaluates its results in real development. The method uses parameterized use case model trained from the previously done use cases to predict extra work parameter. Estimation of test use cases is done several times according to the managers needs during the project execution.

Název v anglickém jazyce

Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters

Popis výsledku anglicky

Many decisions that are needed for the planning of the software development project are based on previous experience and competency of project manager. One of the most important questions is how much effort will be necessary to complete the task. In our case, the task is described by the use case and manger has to estimate the effort to implement it. However, such estimations are not always correct, not estimated extra work has to be done sometimes. Our intent is to support manager's decision by the estimation tool that uses know parameters of the use cases to predict other parameters that has to be estimated. This paper focuses on the usage of our method on the real data and evaluates its results in real development. The method uses parameterized use case model trained from the previously done use cases to predict extra work parameter. Estimation of test use cases is done several times according to the managers needs during the project execution.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 237

ISBN

978-3-319-01780-8

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

10

Strana od-do

37-47

Název nakladatele

Springer

Místo vydání

Basel

Místo konání akce

Ostrava

Datum konání akce

22. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—