U-M CIS 375 - CIS 375 LECTURE NOTES (17 pages)

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CIS 375 LECTURE NOTES



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CIS 375 LECTURE NOTES

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Pages:
17
School:
University of Michigan
Course:
Cis 375 -

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Project Planning CIS 375 Bruce R Maxim UM Dearborn 1 Planning Objectives To provide a framework that allows a software manager to make an estimate of resources cost and schedule Project outcomes should be bounded by best case and worst case scenarios Estimates should be updated as the project progresses 2 Software Scope data to be processed or produced control parameters function performance constraints external interfaces reliability 3 Scope Definition Determine the customer s overall goals for the proposed system and any expected benefits Determine the customer s perceptions concerning the nature of a good solution to the problem Evaluate the effectiveness of the customer meeting 4 Product Feasibility Technical feasibility is not a good enough reason to build a product The product must meet the customer s needs and not be available as an offthe shelf purchase 5 Resource Estimation Human Resources number of people required and skills needed to complete the development project Project Methods and Tools Reusable Software Resources off the shelf components modifiable components new components Development Environment hardware and software required during the development process 6 Estimation Options Delay estimation until late in the project Base estimates on similar projects already completed Use simple decomposition techniques to estimate project cost and effort Use empirical models for software cost and effort estimation Automated tools may assist with project decomposition and estimation 7 Decomposition Techniques 1 Software sizing fuzzy logic function point calculation standard component change Process based estimation decomposition based on tasks required to complete the software process framework 8 Decomposition Techniques 2 Problem based estimation using lines of code LOC decomposition focuses on software functions using function point FP decomposition focuses on information domain characteristics 9 Empirical Estimation Models Experiential Models Typically



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