Title :
Automatic Conceptual Analysis of User Requirements with the Requirements Engineering Assistance Diagnostic (READ) Tool
Author :
Seresht, Shadi Moradi ; Ormandjieva, Olga ; Sabra, Samer
Author_Institution :
Comput. Sci. & Software Eng. Dept., Concordia Univ., Montreal, QC
Abstract :
This paper describes an elaborate methodology that constitutes a proof of concept for the idea that a conceptual knowledge on the software to be developed can be acquired through an automated process, with a corpus of textual requirement documents as input and diagrams representing its static (domain model) and dynamic (context use-case model) aspects, as output. An improved domain model is generated by injecting domain-related missing information provided by Expert Comparable Contextual (ECC) models, which are extracted from reusable domain-specific data models. The dynamic view abstracts the main functionalities of the software as a context use-case model. The paper describes the architecture of the Requirements Engineering Assistance Diagnostic (READ) tool implementing our methodology which will guide the developers in their in-depth study of the requirements text and in the timely identification of risks that poorly specified requirements might introduce into the project.
Keywords :
program diagnostics; program verification; systems analysis; text analysis; ECC models; READ tool; automatic conceptual analysis; conceptual knowledge; context use-case model aspects; expert comparable contextual models; requirements engineering assistance diagnostic tool; textual requirement documents; user requirements; Application software; Conference management; Context modeling; Data mining; Data models; Error correction codes; Programming; Quality assessment; Software engineering; Visualization; Automated Process; Conceptual Analysis Modeling; Requirements Engineering;
Conference_Titel :
Software Engineering Research, Management and Applications, 2008. SERA '08. Sixth International Conference on
Conference_Location :
Prague
Print_ISBN :
978-0-7695-3302-5
DOI :
10.1109/SERA.2008.34