Uses and Benefits of Function Points
Industry experience has shown that an emphasis on project management and control offsets much of the risk associated with software projects. One of the major components of better management and control of both in-house development and a package implementation is measurement.
This includes measurement of:
- the scope of the project, e.g.
software units to be delivered
- performance indicators of efficiency and cost effectiveness, e.g.
cost per unit of software delivered
staff resources per unit of software delivered
elapsed time to deliver a unit of software
- quality indicators, e.g.
number of defects found per unit of software delivered.
The outcome of a function point count provides the metric ‘unit of software delivered’ and can be used to assist in the management and control of software development, customisation or major enhancements from early project planning phases, through to the ongoing support of the application.
Knowing the software size facilitates the creation of more accurate estimates of project resources and delivery dates and facilitates project tracking to monitor any unforeseen increases in scope. The measurement of the performance indicators enables benchmarking against other development teams and facilitates better estimating of future projects. These are only some of the ways in which Function Point Analysis (FPA) can assist IT management. These, and other lesser known ways in which FPA can assist IT to move towards ‘best practice’ in the management of their software products and processes, are discussed in the following sections.
The benefits of using measurement to support management decision-making, can only be achieved if the information supporting these decisions is relevant, accurate and timely. In order to ensure the quality of their measurement data, organisations need to implement a ‘measurement process’. The cost of implementing the activities, procedures and standards to support the function point counting process will depend on the size and structure of the organisation and their measurement needs.
MANAGING PROJECT DEVELOPMENT
FPA Uses and Benefits in Project Planning
A recommended approach for developing function point counts is to first functionally decompose the software into its elementary functional components (base functional components). This decomposition may be illustrated graphically on a functional hierarchy. The hierarchy provides a pictorial ‘table of contents’ or ‘map’ of the functionality of the application to be delivered. This approach has the advantage of being able to easily convey the scope of the application to the user, not only by illustrating the number of functions delivered by each functional area, but also a comparative size of each functional area measured in function points.
Assessing Replacement Impact
If the software to be developed is planned to replace existing production applications, it is useful to asses if the business is going to be delivered more, less or the same functionality. The replacement system’s functionality can be mapped against the functionality in the existing system. A quantitative assessment of the difference can be measured in function points. Note, this comparison can only be done if the existing applications have already been sized in function points.
Assessing Replacement Cost
Multiplying the size of the application to be replaced by an estimate of the dollar cost per function point to develop, enables project sponsors to develop quick estimates of replacement costs. Industry derived costs are available and provide a ballpark figure for the likely cost. Industry figures are a particularly useful reference if the re-development is for a new software or hardware platform not previously experienced by the organisation. Ideally, organisations should establish their own ‘cost per function point’ metrics for their own particular environment, based on project history.
If you are considering implementing a ‘customised off the shelf’ package solution, then this provides a quick comparison of the estimated package implementation costs to compare with an in-house build. Package costs typically need to include the cost of re-engineering the business to adapt the current business processes to those delivered by the package. These costs are usually not a consideration for in-house developed software.
Initial project estimates often exceed the sponsor's planned delivery date and budgeted cost. A reduction in the scope of the functionality to be delivered is often needed so that it is delivered within a predetermined time or budget constraints. The functional hierarchy provides the ‘sketch-pad’ to do scope negotiation. It enables the project manager and the user to work together to identify and flag (label) those functions which are: mandatory for the first release of the application; essential but not mandatory; or optional and could be held over to a subsequent release.
The scope of the different scenarios can then be quickly determined by measuring the functional size of the different scenarios. For example, the project size can be objectively measured to determine what the size (and cost and duration) would be if all functions are implemented, only mandatory functions are implemented, only mandatory and essential functions are implemented. This allows the user to make more informed decisions on which functions will be included in each release of the application, based on their relative priority compared to what is possible given the time, cost and resource constraints of the project.
Functionally sizing the requirements for the application quantifies the different types of functionality delivered by an application. The function point count assigns function points to each of the function types: External Inputs, Outputs, Enquiries, and Internal and External Files.
Industry figures available from the ISBSG repository for projects measured with IFPUG function points indicate that ‘complete’ applications tend to have consistent and predictable ratios of each of the function types. The profile of functionality delivered by each of the function types in a planned application can be compared to that of the typical profile from implemented applications, to highlight areas where the specifications may be incomplete or there may be anomalies.
The following pie chart illustrates the function point count profile for a planned Accounts Receivable application compared to that from the ISBGS data. The reporting functions (outputs) are lower than predicted by industry comparisons. Incomplete specification of reporting functions is a common phenomenon early in a project’s lifecycle and highlights the potential for substantial growth creep later in the project as the user identifies all their reporting needs.
Estimating Project Resource Requirements
Once the scope of the project is agreed, the estimates for effort, staff resources, costs and schedules need to be developed. If productivity rates (hours per function point, $cost per function point) from previous projects are known, then the project manager can use the function point count to develop the appropriate estimates. If your organisation has only just begun collecting these metrics and does not have sufficient data to establish its own productivity rates, then the ISBSG industry data can be used in the interim.
Allocating Testing Resources
The functional hierarchy developed as part of the function point count during project development can assist the testing manager to identify high complexity functional areas which may need extra attention during the testing phase. Dividing the total function points for each functional area by the total number of functions allocated to that group of functions, enables the assessment of the relative complexity of each of the functional areas.
The effort to perform acceptance testing and the number of test cases required is related to the number and complexity of the user functions within a functional area. Quantifying the relative size of each functional area will enable the project manager to allocate appropriate testing staff and check relative number of test cases assigned.
Many organisations have large legacy software applications that, due to their age, are unable to be quickly enhanced to changed business needs. Over time, these applications have been patched and expanded until they have grown to monstrous proportions. Frustrated by long delays in implementing changes, lack of support for their technical platform and expensive support costs, management will often decide to redevelop the entire application. For many organisations, this strategy of rebuilding their super-large applications has proved to be a disaster, resulting in cancellation of the project mid-development. Industry figures show that the risk of project failure rapidly increases with project size. Projects less than 500 function points have a risk of failure of less than 20% in comparison with projects over 5,000 function points which have a probability of cancellation close to 40%. This level of risk is unacceptable for most organisations.
Assessing planned projects for their delivered size in function points enables management to make informed decisions about the risk involved in developing large, highly integrated applications or adopting a lower risk phased approach described below.
If the project manager decides on a phased approach to the project development, then related modules may be relegated to different releases. This strategy may require temporary interfacing functionality to be built in the first release, to be later decommissioned when the next module is integrated. The function point count allows project managers to develop ‘what-if’ scenarios and quantify the project scope of each phase as a means of making objective decisions. Questions to which quantitative answers can be provided are:
- how much of the interfacing functionality can be avoided by implementing all of the related modules in release one?
- what is the best combination of potential modules to group within a release to minimise the development of temporary interfacing functions?
If it is decided to implement the application as a phased development, then the size of each release can be optimised to that which is known to be manageable. This can be easily done by labelling functions with the appropriate release and performing ‘what-if’ scenarios by including and excluding functions from the scope of the count for the release.
FPA Uses and Benefits in Project Construction
Monitoring Functional Creep
Function point analysis provides project management with an objective tool by which project size can be monitored for change, over the project’s lifecycle.
As new functions are identified, functions are removed or changed during the project, the function point count is updated and the impacted functions appropriately flagged. The project scope can be easily tracked and reported at each of the major milestones.
If the project size exceeds the limits allowed in the initial estimates, then this will provide an early warning that new estimates may be necessary or, alternatively, highlight a need to review the functionality to be delivered by this release.
Assessing and Prioritising Rework
Function Point Analysis allows the project manager to objectively and quantitatively measure the scope of impact of a change request, and to estimate the resulting impact on project schedule and costs. This immediate feedback to the user on the impact of the rework allows them to evaluate and prioritise change requests.
The cost of rework is often hidden in the overall project costs, and users and developers have no means to quantify its impact on the overall project productivity rates. Function point analysis enables the project manager to measure the functions that have been reworked due to user-initiated change requests. The results provide valuable feedback to the business on the potential cost savings of committing user resources early in the project to establish an agreed set of requirements and minimising change during the project life-cycle.
FPA Uses and Benefits after Software Implementation
Planning Support Resources and Budgets
The number of personnel required to maintain and support an application is strongly related to the application’s size. Knowing the functional size of the application’s portfolio allows management to confidently budget for the deployment of support resources. For example, within an Australian financial organisation the average maintenance assignment scope (number of function points supported per person) is 833 function points per person. The assignment scope has been found to be negatively influenced by the age of the application and the number of users, i.e. as both these parameters increase the assignment scope decreases. Capers Jones figures show similar assignment scopes where for ageing, unstructured applications with high complexity, an assignment scope of 500 function points per person is not unusual, whereas for newer, structured applications, skilled staff can support around 1,500 – 2,000 function points.
Once implemented, applications typically need constant enhancement in order to respond to changes in direction of an organisation’s business activities. Function points can be used to estimate the impact of these enhancements. The baseline function point count of the existing application will facilitate these estimates. As the application size grows with time, the increasing assignment scope will provide the justification to assign more support staff.
The function point count of delivered functionality provides input into productivity and quality performance indicators. These can then be compared to those of other in-house development teams and implementation environments. Benchmarking internally and externally with industry data enables identification of best practice. External benchmarking data is readily available in the ISBSG Repository.
Identifying Best Practice
Project managers seeking ‘best practice’ in their software development and support areas recognise the need to adopt new tools, techniques and technologies to improve the productivity of the process and the quality of the products they produce. Baselining current practice enables management to establish current status and set realistic targets for improvement. Ongoing measurement of productivity and quality key performance indicators enable management to assess the impact of their implemented changes and to identify where further improvements can be made. Function points are the most universally accepted method to measure the output from the software process. They are a key metric within any process improvement program because of their ability to normalise data from various software development environments, combined with their ability to measure output from a business perspective as compared to a technical perspective.
Planning New Releases
The functional hierarchy of the functionality delivered by an application can also assist the support manager in planning and grouping change requests for each new release of the application. The hierarchy illustrates closely related functions and their relative size. If the impact of change is focused on a group of related functions, then development effort will be reduced, particularly in the design, testing and documentation stages of the project. This strategy of evaluating the scope of impact of a change request also reduces project risk by restricting projects to a manageable size and focusing change on a restricted set of related business functions.
Software Asset Valuation
Function Point Analysis is being used increasingly by organisations to support the ‘valuation of their software assets’. In the past, software has been considered an expense rather than a capital asset and, as such, was not included in an organisation's asset register. The most commonly used software valuation method is based on the ‘deprival method’. This method values the software based on what it would cost to replace in today’s technical environment, rather than what it cost originally to build. The industry build rate (dollar cost per function point) is determined and the total replacement value is calculated based on the current functional size of the application.
Since FPA provides a means of reliably measuring software, then some organisations have implemented accrual budgeting and accounting in their business units. Under this directive, all assets must be valued based on deprival value and brought to account, thus ensuring better accountability of the organisation's financial spending. Funding via budget allocation is based on assets listed in their financial accounts and their depreciation. In the past, the purchase price of the software was recorded as an expense within an accounting year. These more recent accounting practices mean that it can now be valued as an asset and depreciated.
Publicly listed organisations have found that by using this accrual accounting method of measuring software as an asset rather than an expense they can amortise the depreciation over five years rather than artificially decrease the current year’s profit by the total cost of the software. This strategy has a dramatic effect on their share price because their software is listed as a capital asset, so contributes to the overall worth of the company. The total cost of that asset has a reduced impact on the current year’s reported profit.
Outsourcing Software Production and Support
The benefits of functional size measurement in outsourcing contracts, is that functional size enables suppliers to measure the cost of a unit of output from the IT process to the business, and enables them to negotiate on agreed outcomes with their client.Specifically, these output based metrics based on function point analysis have enabled suppliers to:
- quantitatively and objectively differentiate themselves from their competitors
- quantify extent of annual improvement and achievement of contractual targets
- negotiate price variations with clients based on an agreed metric
- measure financial performance of the contract based on unit cost of output
- at contract renewal, be in a stronger bargaining position supported by an eststablished set of metrics
- objectively assess supplier performance based on performance outputs delivered rather than concentrating on inputs consumed.
- establish quantitative performance targets and implement supplier penalties and bonuses based on achievement of these targets
- measure the difference between internal IT costs compared to the cost of outsourcing based on similar output
- quantitatively compare competing suppliers at contract tender evaluation stage.
Many international outsourcing companies use function point based metrics as part of their client service level agreements. Whilst this method of contract management is relatively new, its proponents are strong supporters of the usefulness of the technique. In our experience once an outsourcing contract has been based on function point metrics, subsequent contract renewals expand on their use.
Metrics initiatives have a high cost and need substantial investment, which is often overlooked at contract price negotiation. Both the supplier and the client typically incur costs. However, given the size of the penalties and bonuses associated with these contracts, it soon becomes obvious that this investment is necessary.
Customising Packaged Software
For selected MIS applications, implementing a packaged ‘off the shelf’ solution is the most cost effective and time efficient strategy to deliver necessary functionality to the business.
All of the benefits and uses of Function Point Analysis which applied to in-house development projects as described in the previous section can also apply to projects which tailor a vendor supplied package to an organisation's specific business needs.
Experience shows that Function Point Counting of packages is not always as straightforward as sizing software developed in-house, for the following reasons:
- only the physical and technical functions are visible to the counter.
- the logical user view is often masked by the physical implementation of the original logical user requirements.
- in most cases the functional requirements, functional specifications, and logical design documentation are not delivered with the software. The counter may have to rely on the User Manual or online help to assist in interpreting the user view.
The modelling of the logical business transactions often requires the function point counter to work with the client to identify the logical transactions. They do this by investigating the user's functional requirements and interpreting the logical transactions from the package’s physical implementation.
In most cases, the names of the logical files accessed by the application’s transactions are not supplied by the package vendor.
The function point counter will need to develop the data model by analysing the data items processed by the application.
However, with sufficient care, a reasonably accurate function point count of packaged applications can usually be obtained.
Estimating Package Implementations
The estimates for a package solution need to be refined for each implementation depending on the percentage of the functionality which is:
- native to the package and implemented without change
- functionality within the package which needs to be customised for this installation
- functionality contained with the organisation's existing applications which needs to be converted to adapt to the constraints of the package
- to be built as new functions in addition to the package functions
- to be built to as new functions to enable interfacing to other in-house applications
- not to be delivered in this release.
The productivity rates for each of these different development activities (to implement, customise, enhance or build) are usually different. This complexity of assigning an appropriate productivity factor can be compounded when the package provides utilities which enable quick delivery based on changes to rule tables. Change requests, which can be implemented by changing values in rule-based tables, can be implemented very efficiently compared to a similar user change request that requires source code modification. It is recommended that these different types of activities are identified, and effort collected against them accordingly so that productivity rates for the different activity types can by determined.
The functions can be flagged for their development activity type and their relative contributions to the functional size calculated. This will enable fine-tuning of the project estimates.
Another area of concern when developing estimates for package integration is the need to determine the extent that the application module needs to interface with existing functionality. The function point count measures the external files accessed by transactions within this application. A high percentage of interface files (>10%) suggests a high degree of coupling between this application and existing applications. A high degree of interfacing tends to have a significant negative impact on productivity rates and needs to be considered when developing estimates.
Function Point Analysis is a technique that, until now, has been restricted within many organisations to only be used for better estimating or input into benchmarking productivity rates. The above examples illustrate a wider range of uses where it can contribute to the better management and control of the whole software production environment.
Where maintenance and support includes defect repairs and very minor enhancements. Capers Jones – Applied Software Measurement – Assuring Productivity and Quality – McGraw Hill – Software Engineering series 1991 – Chapter 3 Page 180.