Reference models developed for software process improvement (SPI) provide guidelines about what to do while assessing and improving the processes, but they do not answer the questions of how. There have been a number of studies that try to find effective and strategic implementation models or to identify factors that affect the SPI success. However, these studies do not provide answers to questions about the effect of these factors on SPI program duration or accelerated SPI studies. This study aims to investigate the factors that affect CMMI-based SPI duration. It consists of two phases: in the first phase, factors that influence SPI success are identified and hypotheses related to these factors are formulated based on the case studies published in the literature. In the second phase of the study, hypotheses are revised based on the results of the qualitative research conducted in seven companies, six of which have obtained CMMI-Level 3 certification as a consequence of their SPI effort. The study has shown that management commitment and involvement as well as process documentation have had a significant shortening effect on CMMI-based SPI duration, within the context of the studied cases. Software process improvement / CMMI / Success factors / Duration factors. Enter specific words or phrases that are listed in thesis.

The duration of construction of a project depends on many factors, such as: cost, location, site characteristics, procurement methods, area of construction, footprint of the building and its height, etc. It is very important to be able to predict these durations accurately in order to successfully complete a project on time. Various construction duration estimation tools have been developed to make accurate predictions, as &ldquo / time is money.&rdquo / The main objective of this study was to develop a model that can be used to predict the construction duration of a project in a reliable and practical way. Contractors can thus use a project&#039 / s characteristics, as given in the tender documents, to estimate the actual amount time it would take them to complete the construction works. In this study, factors affecting the duration of a construction project and models for estimating construction durations were investigated. Within this framework, duration estimation models such as / Bromilow&rsquo / s Time-Cost (BTC) Model and Building Cost Information Service (BCIS) Model were used while Simple Linear Regression (SLR) and Multiple Linear Regression (MLR) analyses were conducted on data related to seven case study buildings that are situated at the Middle East Technical University (METU) campus in Ankara. This data was obtained from the Department of Construction and Technical Works (DCTW) at METU. The closeness in estimation of the regression analyses was investigated and finally an MLR model was obtained which was based on two parameters / the area of the building and the area of its fa&ccedil / ade. On the other hand, as opposed to studies reported in literature, the effect of cost on duration was not seen to be significant.