Incorporating heuristic information into genetic search
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Theory-W Software Project Management Principles and Examples
IEEE Transactions on Software Engineering
A Formal Model for Software Project Management
IEEE Transactions on Software Engineering
Software engineering: a holistic view
Software engineering: a holistic view
Formal Approach to Scenario Analysis
IEEE Software
The weakest link in the SE chain
Computer
Computer
Effective project management: how to plan, manage, and deliver projects on time and within budget
Effective project management: how to plan, manage, and deliver projects on time and within budget
Object-oriented project management with UML
Object-oriented project management with UML
ACM Computing Surveys (CSUR)
Software Management
Genetic Algorithms for Project Management
Annals of Software Engineering
Information and Software Technology
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Time-line based model for software project scheduling with genetic algorithms
Information and Software Technology
Value-Based Multiple Software Projects Scheduling with Genetic Algorithm
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
A fuzzy time-dependent project scheduling problem
Information Sciences: an International Journal
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Technical and managerial complexity increasingly overwhelm project managers. To rein in that complexity, the authors propose PM-Net, a model that captures the concurrent, iterative, and evolutionary nature of software development. It adopts the basic concepts of Petri nets, graphical models of information flow, with extensions to represent both decisions and artifacts