DocumentCode
2292086
Title
Classifying software process models based on natural language descriptions
Author
Ellmer, Ernst ; Merkl, Dieter
Author_Institution
Dept. of Inf. Eng., Wien Univ., Austria
fYear
1996
fDate
9-10 Sep 1996
Firstpage
320
Lastpage
325
Abstract
Reuse of the valuable knowledge gained through the realization of software projects is an important step in overcoming well-known problems of the software industry such as wrong schedules and cost estimations, low productivity, and low product quality. To promote this kind of reuse the authors propose an approach relying on an explicit representation of the software processes by process descriptions and to organize and classify them in a software process library for further use within software projects. A process description is divided into an informal process definition document and a formal process model. The process definition document constitutes the basis for the classification process that is performed by using an artificial neural network. They present an exposition of their approach and discuss the promising results of a case study in structuring a software process library
Keywords
natural languages; self-organising feature maps; software libraries; software reusability; artificial neural network; formal process model; informal process definition document; knowledge reuse; natural language descriptions; process descriptions; software industry; software process library; software process model classification; software projects; Capability maturity model; Costs; Job shop scheduling; Natural languages; Productivity; Programming; Software engineering; Software libraries; Software quality; Software reusability;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 1996. Proceedings., Seventh International Workshop on
Conference_Location
Zurich
Print_ISBN
0-8186-7662-0
Type
conf
DOI
10.1109/DEXA.1996.558338
Filename
558338
Link To Document