Project scheduling tool
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Author
Publication
1997 - Naval Postgraduate School, Monterey, Calif, California
Language
English
Word Count
62,250 words, Guess
Page Count
249 pages
Identifiers
- Internet Archiveprojectschedulin00evan
- OCLC Control Number640501231
- Open LibraryOL25303179M
Classifications
- LCCE758
Description
Optimally scheduling a team of developers on a large software project is an NP- complete problem. The scheduling algorithm employed by the Evolutionary Control System (ECS) portion of the Computer-Aided Prototyping System (CAPS) does near-optimal scheduling using an algorithm that runs in Order N2 space and time. The problem addressed by this thesis is to improve the performance of the algorithm and make it more useful for scheduling software developers. The thesis accomplished three things: (1) Modified the algorithm to run in order N time and space, preserving its near-optimal behavior; (2) implemented a calendaring package that computes federal holidays for any year after 1970 and schedules tasks only on non-holiday workdays; and (3) incorporated a more realistic capability model to better match programming tasks with each developer's abilities.
Subjects
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