Feature Location in a Collection of Software Product Variants

Ra'Fat AL-Msie'Deen

ISBN 10: 3659547441 / ISBN 13: 9783659547447

Published by LAP LAMBERT Academic Publishing, 2014

About this Item

Feature Location in a Collection of Software Product Variants | Ra'Fat AL-Msie'Deen | Taschenbuch | 148 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659547447 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 105250114

Bibliographic Details

• Title: Feature Location in a Collection of Software Product Variants
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 3659547441
• ISBN 13: 9783659547447
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 238 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Companies often develop a set of software variants that share some features and differ in other ones to meet specific requirements. To exploit existing software variants and build a Software Product Line (SPL), a Feature Model (FM) of this SPL must be built as a first step. To do so, it is necessary to mine optional and mandatory features in addition to associating the FM with its documentation. This book presents an approach for feature location and documentation in a collection of software product variants. Three techniques are used to do so: Formal Concept Analysis, Latent Semantic Indexing and analysis of structural code dependencies. These techniques exploit commonalities and variable parts across software variants, at source code level. The second contribution consists in documenting a mined feature by providing a name and description. It exploits both the source code of the feature and use-cases, which contains the logical organization of external functionalities together with textual descriptions of these functionalities. Relational Concept Analysis completes the same three techniques used previously as it can group entities according to their relations.

About the Author

Ra’Fat Al-Msie’Deen received Bachelor of computer science in September 17, 2007 from Al - Hussein Bin Talal University in Jordan, and he received a Master of Science (Information Technology) in March 28, 2009 from University Utara Malaysia. His research interest includes Software Product Line Engineering and Formal Concept Analysis.