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project estimation Using the ISBSG repository
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his chapter provides a practical introduction to using the macro-estimating techniques described in this book We present a software development case study and then describe three different macro-estimating techniques that utilize data from the ISBSG Repository to estimate project work effort and duration for the target project outlined in the case study The macroestimating techniques described are the following: Estimating using regression equations Estimating using comparison Estimating using analogy Step-by-step examples of how each of these estimating techniques can be applied to the case study project are presented, and the benefits and limitations of each technique are discussed The examples utilize project data taken from the ISBSG Estimating, Benchmarking & Research Suite Release 11 (ISBSG Repository)1
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Case Study: A Student and Staff Records Management System (SSRM)
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The Supersoft software company will soon begin developing a student and staff records management system to be called SSRM
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The ISBSG Estimating, Benchmarking & Research Suite Release 11 contains data on over 5,000 projects It can be licensed from wwwisbsgorg or from ISBSG member organizations
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SSRM is a management information system to be developed for a local college SSRM will allow college administrators to enter, maintain, and report on a range of information including: Students personal, course, and results information Staff members personal, course, and employment history information SSRM will also allow individual students and staff members to obtain summaries of their own information To facilitate ease of use, SSRM must allow access from any location via a standard web browser interface SSRM will be developed to operate on a midrange UNIX platform Users will be able to remotely access SSRM via any standard web browser, but all the system s processing will be performed on the UNIX platform Even though SSRM will replace several existing systems, its requirements are sufficiently different from those systems that it is considered a new development, not as a redevelopment of the existing systems
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Functional Size Measurement
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An initial requirements specification for SSRM has been completed, and a functional size measure of the system has been carried out based on that specification The function point sizing serves a number of purposes: Performing function point analysis helps to identify any missing, incorrect, or unnecessary requirements The completed function point size and accompanying functional model will aid in scope management throughout the project by serving as a baseline against which any scope changes can be tracked and controlled The function point size provides an objective measure of the system s size that can be obtained very early in the project life cycle and from which, with the addition of information from sources such as the ISBSG Repository, estimates of the project work effort and duration can be obtained The functional size of SSRM is determined to be 480 function points From past experience, Supersoft knows that requirements scope creep likely will increase the size of the system by around 12 percent from the initial function point count to the final delivered size An additional 60 function points are therefore added to the functional size for use in estimating, to account for the likely scope creep
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project estimation Using the ISBSG repository
480 function points 12% 480 = 576 60 function points 480 + 60 = 540 function points
Functional size from initial requirements specification: Likely functional size increase due to scope creep: Functional size used in estimating:
Project Work Effort and Duration Estimates
Supersoft has appointed Jenny to be the project manager for the development of SSRM Jenny is an experienced software project manager and has managed the development of several similar systems in the past Most members of Jenny s development team are also experienced in this type of software development One of Jenny s first tasks is to generate project work effort and duration estimates for the SSRM project These will be used in the development of the project s schedule and budget Along with other members of her development team, Jenny plans to develop a complete work breakdown for the SSRM project and then to use a task-based micro-estimating technique to generate the estimates From experience, however, Jenny knows that developing an accurate and complete work breakdown for a project such as this will take considerable time Because she needs initial and indicative estimates more quickly than she can obtain them from the task-based micro-estimating technique, Jenny decides to use macro-estimating techniques, which do not require a complete work breakdown, to develop the initial estimates An additional benefit of using macro-estimating techniques is that when she comes to generate the full, task-based micro-estimates from the work breakdown, Jenny will be able to use the existing macro-estimates for validation Any significant differences between the task-based micro-estimates and the macro-estimates can be investigated to ensure that no tasks have been inadvertently missed out, included without reason, or incorrectly assessed Ideally, Jenny would utilize historical data from completed Supersoft projects to generate the macro-estimates Although Supersoft is an experienced software development company, it has only recently begun developing systems similar to SSRM and has therefore not yet developed a substantial repository of development information on such projects Because Supersoft does not have its own repository, Jenny decides to utilize the ISBSG Repository as the source of historical data on completed projects from which to develop her project work effort and duration macro-estimates The remainder of this chapter describes how Jenny goes about developing the macro-estimates for the SSRM project using the ISBSG Repository
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