Software release planning: an evolutionary and iterative approach

By D. Greer, G. Ruhe. Information and Software Technology, 2004

476 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A systematic literature review of software requirements prioritization research (2014, methodology): “Prominent machine learning techniques that suffer from this limitation are case base ranking [13]; interactive genetic algorithm prioritization technique [14]; Binary search tree [25] and EVOLVE [22].”
The Current State and Future of Search Based Software Engineering (2007, methodology): “Greer and Ruhe proposed a GA-based approach for planning software releases [35].”
Search Based Software Engineering: A Comprehensive Analysis and Review of Trends Techniques and Applications (2009, methodology): “Greer and Ruhe proposed a GA-based approach for planning software releases [200].”
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search (2010, background): “activities right across the software engineering life cycle, including requirements engineering [4], [19], [21], project planning and cost estimation [2], [3], [17] maintenance [10], [37], [46], refactoring [28], [50], [54], service-oriented software engineering [14], and quality assessment [11], [3”
Search-based software engineering: Trends, techniques and applications (2012, unknown): “Greer [Greer and Ruhe 2004] also provided a method for optimally allocating requirements to increments, based on:”