Title | ||
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Integrating value-based requirement engineering models to webml using vip business modeling framework |
Abstract | ||
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Requirement engineering (RE) is emerging as an increasingly important discipline for supporting Web application development, as these are designed to satisfy diverse stakeholder needs, additional functional, information, multimedia and usability requirements as compared to traditional software applications. Moreover, when considering innovative e-commerce applications, value-based RE is an extremely relevant methodology which exploits the concept of economic value during the RE activity. In contrast, most of the methodologies proposed for the development of Web applications, primarily focus on the system design, and paying less attention to the RE, and specifically to value-based RE. Focusing this aspect, the paper presents integration of value-based RE models to WebML models using our recently proposed VIP Business Modeling Framework [1]. We also analyze the framework's potential in linking other modeling approaches, and argue about its significant integration potential with various E-R/OO-based, process aware Web modeling approaches. |
Year | DOI | Venue |
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2007 | 10.1145/1242572.1242698 | WWW |
Keywords | Field | DocType |
webml model,value-based requirement engineering model,diverse stakeholder need,economic value,significant integration potential,vip business modeling framework,web application development,important discipline,web application,modeling approach,process aware web modeling,requirement engineering,business model,business process model,information model,business value,vip,system design,satisfiability,e commerce | Artifact-centric business process model,World Wide Web,Computer science,Requirements engineering,Web modeling,Web application development,Business model,Business process modeling,Business rule,Business Process Model and Notation | Conference |
Citations | PageRank | References |
2 | 0.39 | 14 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Farooque Azam | 1 | 48 | 22.96 |
li zhang | 2 | 101 | 18.22 |
Rashid Ahmad | 3 | 128 | 11.64 |