A Knowledge-Based System To Predict Software Development
Abstract
Effective software development is critical in order to corporations to survive in today's software markets. Not only do they need to produce quality software, but they need to be able to do it on a limited budget and schedule. This problem is exacerbated by ineffective means of measuring the software process. Models have been developed to help quantify the intangible software process, but taken alone they are often ineffective. Manager's estimates need to be modified by both a model and historical project analysis in order for them to be meaningful. I have developed a software system that attempts to help managers make meaningful predictions about the software process in order to make better software. It takes manager estimates on program size and type, and uses previous projects to help the COCOMO model create a better estimate than the model could come up with by itself
Description
Program year: 1995/1996Digitized from print original stored in HDR
Citation
Thompson, Jason D. (1996). A Knowledge-Based System To Predict Software Development. University Undergraduate Fellow. Available electronically from https : / /hdl .handle .net /1969 .1 /CAPSTONE -ThompsonJ _1996.