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PhD Defense - Dan Ingold
Mon, Dec 08, 2014 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Dissertation Title
A model for estimating schedule acceleration in agile software development projects
PhD Candidate
Dan Ingold
Committee
Barry Boehm (chair), Leana Golubchik, William GJ Halfond, Behrokh Khoshnevis (outside member)
Time and Place
Monday, 8 Dec 2014, 1pm
SAL 322 Conference Room
Abstract
This research assesses the effect of product, project, process, people and risk factors on schedule for software development projects that employ agile methods. Prior research identified these factors as being significant within lean/agile organizations with a history of rapid-response to new product development needs. This work integrates these factors into CORADMO, the Constructive Rapid Application Development Model, an offshoot of the COCOMO family of effort and schedule estimation models.
CORADMO is based on a systems dynamics model of the agile development process, which simulates the flow of development tasks and change items through the process. The five major factors are elaborated into twelve sub-factors, most having a second-, third- or higher-order effect on schedule. Each of the factors and sub-factors is rated along a six-element Likert scale, which determines a set of weighing multipliers derived from COCOMO, COSYSMO, and other models. These multipliers are applied to the systems dynamics model elements that affect task production, change rates, defect insertion, refactoring, and other processes, and the schedule effects assessed.
The results of this modeling show very good ability to predict the schedule outcomes of agile projects. The research evaluates the dynamic model against twelve commercial projects, which show from 2% schedule overrun to 56% underrun, and that implement a variety of product types using diverse languages. The twelve factors were rated for each project based on information the projects provided, and the simulated schedule results compared with the actual schedules realized. Although wide-range validation is limited due to the availability of test data, the CORADMO model is able to predict accurately the actual schedule outcomes of these commercial projects.
Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
