scholarly journals Process knowledge based rapid prototyping for requirements engineering

Author(s):  
B. Ramesh ◽  
Luqi
1990 ◽  
Author(s):  
Harlan Black ◽  
Alan Davis ◽  
Raymond Yeh ◽  
Winston Royce ◽  
George Sumrall

2013 ◽  
Vol 401-403 ◽  
pp. 1470-1473
Author(s):  
Chun Fen Guo ◽  
Li Chen Zhuang

Making use of hierarchical structure clearly of concept model of ontology , on the basis of Apriori algorithm and introducing cross linker method, an mining algorithm of process knowledge of association rule is proposed based on ontology. To verify the feasibility of the algorithm, partial correlation process knowledge is dicovered by this algorithm.


1990 ◽  
Vol 13 (5) ◽  
pp. 505-518
Author(s):  
Shun‐Tzu Tsai ◽  
Chien‐Chiao Yang ◽  
Chin‐Cheng Lien

1995 ◽  
Vol 28 (5) ◽  
pp. 603-608
Author(s):  
Christian Rähder ◽  
Jörg Winkler

1989 ◽  
Vol 2 (4) ◽  
pp. 239-248 ◽  
Author(s):  
Jeffrey J.P. Tsai ◽  
Alan Liu

Author(s):  
Chetankumar Patel ◽  
Muthu Ramachandran

Developing software that meets the customers or stakeholders’ needs and expectation is the ultimate goal of the software development methodology. To meet their need we have to perform requirement engineering which helps to identify and structure requirements. In traditional software development methods end users or stakeholders predefined their requirements and sent to the development team to analysis and negotiation to produce requirement specification. In many cases it is risky or very difficult and not economical to produce a complete, verifiable set of requirements. Traditional software development has a problem to deal with requirement change after careful analysis and negotiation. This problem is well tackled by the Agile Practices as it’s recommends an on-site customer to represents their requirements through user stories on story cards. Generally customers have rarely a general picture of the requirements or system in their mind which leads problems related to requirements like requirements conflicts, missing requirements, and ambiguous requirements etc, and does not address non-functional requirements from exploration phase. This chapter introduces best knowledge based guidelines for agile requirements engineering to enhance the quality of requirements (story cards).


2012 ◽  
pp. 1403-1416
Author(s):  
Chetankumar Patel ◽  
Muthu Ramachandran

Developing software that meets the customers or stakeholders’ needs and expectation is the ultimate goal of the software development methodology. To meet their need we have to perform requirement engineering which helps to identify and structure requirements. In traditional software development methods end users or stakeholders predefined their requirements and sent to the development team to analysis and negotiation to produce requirement specification. In many cases it is risky or very difficult and not economical to produce a complete, verifiable set of requirements. Traditional software development has a problem to deal with requirement change after careful analysis and negotiation. This problem is well tackled by the Agile Practices as it’s recommends an on-site customer to represents their requirements through user stories on story cards. Generally customers have rarely a general picture of the requirements or system in their mind which leads problems related to requirements like requirements conflicts, missing requirements, and ambiguous requirements etc, and does not address non-functional requirements from exploration phase. This chapter introduces best knowledge based guidelines for agile requirements engineering to enhance the quality of requirements (story cards).


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