Title
Predicting good requirements for in-house development projects
Abstract
We surveyed software practitioners regarding software development practices used during recent projects. Five categories of questions broadly related to requirements were asked: the sponsor, customer/users, requirements issues, the project manager and project management, and the development process. Relationships between project factors and good requirements were investigated. We developed requirements prediction equations by dividing our response data into two data sets. Using binary logistic regression on each set we tested the equations developed. Such analysis provides us with insight into which variables are significant predictors of good requirements. The best predictors were 1) the customers/users had a high level of confidence in the development team, with 2) risks were controlled and managed by the project manager.
Year
DOI
Venue
2006
10.1145/1159733.1159758
ISESE
Keywords
Field
DocType
user requirements,risk management,management,prediction,software development,binary logistic regression,development process,requirements
Systems engineering,Requirements analysis,Requirements management,Software project management,Project manager,Requirement,Requirement prioritization,Engineering,Software development,Process management,Project management
Conference
ISBN
Citations 
PageRank 
1-59593-218-6
8
0.44
References 
Authors
20
3
Name
Order
Citations
PageRank
June M. Verner1125575.85
Karl Cox221310.50
Steven J. Bleistein332216.95