Uncertainty factors of the projects in Sri Lank n software industry and a controlling model

Abstract

Uncertainty is an inevitable factor of most software projects, not only in Sri Lanka but when considering the global software industry. Most Project Managers make decisions, milestones to make sure that each and every stakeholder in the project team is working to make the desired delivera les but still the project ends up with an overrun schedule, overflowing budget and compromised specifications. Or it just dies. Software organizations should identify different kind of uncertainties where project can tolerate at different stages of the projects. For this study I w uld like to collect data through questionnaires from several software companies in Sri Lanka and find out what are the uncertainties that they face during various phases of the project. Also the management approaches they take wh n such instance occurred will also identified from the data collection from vario s stake holders of the projects. ...;p,r;r In this study the uncertainty factors were explored by conducting surveys based on interviews and questionnaires. From the interview based surveys the uncertanty factors affecting to projects in Sri Lanka software indus y were identified and to measure the significance of the responses actions n each impact level a questionnaire based mass surveys was conducted.There it is observed that there are response actions that can be taken independent of the impact level of the uncertainty of some uncertainty factors. Furthermore when selecting suitable response action when there is an uncertainty in a particular impact level, the order of preference can be taken into consideration. This study is significant because the data was collected from a large sample of professionals who involved in Sri Lankan software industry and inferential analysis techniques and hypothesis tests were performed under 95% signi icance level and the tests satisfied the requirements of validity of the data. Als from the mass questionnaire-based survey verifies the application of responses ctions for identified uncertainties in different impact levels.