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Work breakdown structures are an important tool in software project estimation They provide a micro-approach to estimating, thereby allowing a cross-check between the results achieved from micro and macro techniques A sound approach to estimating a software development project is to use both a macro-estimation technique and a work breakdown micro-estimate
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how Do I estimate a project Comprising Varying Components
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ome projects are characterized by subsets of functionality where different project delivery rates apply For these projects it may be useful to apply macro-estimating methods to each subset and to aggregate the results This chapter provides some examples of situations where you may wish to estimate project subsets
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Subsets Implemented Utilizing Different Technologies
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It is common for systems to use mixed technologies in the software solution For example, a 4GL or a report generator may be used to build reports, while the rest of the system may be developed in a lower-level language Each technology subset should be independently sized, and then its effort should be estimated
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Code and Reference Tables
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Many information systems are characterized by code and reference tables used to ensure the validity, consistency, and integrity of other data and to enable data selection In data warehousing systems, the contribution of code and reference tables to the functional size has been observed to be as high as 60 percent, but in normal MIS systems is often around 30 to 40 percent The method used for building maintenance functionality for these tables varies among organizations and among technologies used But as a general observation, where the data element format for each table is the same or similar (for example, a code, name, and maybe a short description), a generic technique for the software construction is common This approach develops a generalized set of maintenance
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practical Software project estimation
functions for code and reference tables Indeed, some technology platforms will readily generate this functionality A faster project delivery rate can be expected for this approach
Subsets Characterized by Technical or Other Complexities
Many software development projects have functionality subsets that will be challenging to design and/or build because of technical or other complexities The project delivery rate (hours per function point) you might expect to achieve in these areas may be significantly worse than for other functionality in the project
Reused Code
Not all software will be built from scratch Some of the software solution functionality may be acquired from systems previously built, or may be bought Some common examples of this type of functionality are the following: Security Utility software for backup/recovery/retrieval Utility software for searching, for example, by wildcard or phonetic matches Drawing tools Event/audit log browsing and searching The project delivery rate you choose when you are reusing code will depend upon the amount of customization or modification needed, but normally you can expect to achieve a rate better than would be achieved if you had to write the code from scratch
Summary
A software project can be made up of components that can be expected to have significantly different project delivery rates You need to be aware of this, identify the components of your proposed project, estimate each component based on its individual characteristics, and then sum the totals to achieve a realistic estimate for the total software component of your project
Using project history Databases
oftware project history data can come from two sources: from an organization s own history of completed projects, and from databases of industry software project history
Use of an Organization s Own Experience Data
The project delivery rate used for estimation (expressed in hours per function point) is best derived from an organization s own experience database This experience database holds information about the organization s internal project history Different organizations have their own characteristics that influence their processes and their productivity Many of these characteristics are difficult to identify, let alone quantify They will include variables like the impact of the working environment, staff mindset and staff morale, work mix (development/support), management, organization structure, and the relationship with clients/users When data is collected on in-house projects, the impact of these types of variables is embedded in the data The biggest difficulty when building your in-house experience database is deciding what to collect One of the prime goals of the ISBSG initiative is to provide a common language that can be used by IT practitioners in measuring their productivity and comparing themselves You can build your own experience database by entering your project data in the ISBSG Repository1 From the project identification codes supplied to you when you submit data on projects, you will be able to extract your organization s projects from the ISBSG Data Release
Refer to Appendix E on the benefits of submitting projects to the ISBSG Repository Also refer to http://wwwisbsgorg/submitdata, Project data | Submit a project
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