Estimation has become a challenge for the IT industry. Accurate estimation of size, effort and hence the cost is critical to project planning, monitoring and delivering the final system on time and within budget. Accuracy of estimates ensures that a project manager is able to deploy the required skills and manpower for well execution of the project.
Different models, algorithms and techniques have been instrumental in estimating effort and cost for software projects over the years. However, the efficacy and usability of them is still in question. As players in the software development industry we have seen huge failures of IT projects. Research reports have shown with well established data that major established firms and big players have incurred huge losses in project failures. Either the project has grown out of the estimated scope, become complex and unmanageable, or has failed in the implementation stage or got cancelled midway due to extensive delays.
So do we still continue to use the traditional techniques/model/algorithms to estimate for software projects as done in the past? Historical project data for future project estimation cannot be the only reliable estimation model since operational parameters of every project change with evolution in technological space. Every day the technical environment affecting system development changes. This changes the variables which effect estimation.
Using the same old traditional model for estimation is no longer relevant for producing realistic estimates. There will be errors due to the static nature of the estimation model. They can be applicable to small projects say 3 months, but large and ongoing complex projects require a different model.
In a dynamic technical environment, we need a dynamic model/tool to accurately estimate scope, time and cost for system development.
Traditional models of estimation are based on size estimation to produce effort and cost estimates. The three factors are inter-related and simply considering one and leaving the others produces unrealistic estimates. The historical model is based on either liner or non linear regression analysis where the size of the project is taken as a main input factor for effort and cost estimate calculation. Here another problem of historical models could be the huge quantity of data that is required to carry regression analysis. Either the data sources are inaccessible or you have to pay hefty fees to access them. Even if you get them, technical experts and trained individuals are required to use the data judiciously and produce estimates –a lengthy, costly and technical process. Is it not?
Testing is another area of concern as it establishes quality parameters. Large organizations have dedicated testing teams who estimate testing effort for test cases and plan schedule and resources accordingly.
If you are a small to medium sized software development firm, prime criteria is to be able to estimate fairly accurately, simply and quickly – to win the project. You cannot afford to spend hefty fees on traditional estimation models. You don’t have dedicated test teams who separately estimate test effort. You have to judiciously plan resources so that estimation doesn’t suffer. Time is your competitive element. By being able to produce quick estimates, you can create differentiation.
Ditch traditional systems to create that differentiation. Quick FPA, an innovation in the software estimation domain is a dynamic tool created to simplify software estimation with great accuracy. Your task is to get a clear statement of requirements from the client to enlist all implementation types. The tool will be instrumental in doing the rest of the job. The system has been structured to be a simple set up to estimate all possible use cases.
The tool promises customization – every project is estimated uniquely based on exclusive requirements and use cases which would define the project. Simplifying the procedure does not mean estimates would be simple. The tool enables producing the most granular estimates in the quickest time. Not only does the tool estimate development effort, but also the testing effort for quality assurance. You have the flexibility to apply variable testing environment, device types and browser resolution for calculating the testing effort.
No more technical models and massive data overload to perform rigorous calculations. Never before has estimation been so quick and easy as will be with this new innovation. As a team we have worked very hard to develop Quick FPA – To deal with the challenge of inaccurate and unrealistic estimates which have led to massive failures in IT industry. We are geared up to simplify estimation and we require your support us in making this happen.
Ditch the traditional approach and see estimation play a significant role in winning more projects and executing them successfully. Register at http://www.quickfpa.com/site/ and see the impossible happen!