COCOMO II is an effort to update software cost estimation models, such as the 1981 COnstructive COst MOdel and its 1987 Ada COCOMO update. Both these and other 1980’s cost models have experienced difficulties in estimating software projects of the 90s due to new practices such as non-sequential and rapid-development process models; reuse-driven approaches involving commercial-off-the-shelf (COT...

This project involves research about software effort estimation using machine learning algorithms. Software cost and are crucial parts of development. It determines the budget, time resources needed to develop a project. One well-established models is Constructive Cost Model (COCOMO) which was developed in 1980s. Even though such model being used, COCOMO has some weaknesses developers still fac...

T.N.Sharma Abstract COCOMO II is an objective cost model for planning and executing software projects. It is an important ingredient for managing software projects or software lines of business. A cost model provides a framework for communicating business decisions among the stakeholders of a software effort. COCOMO II supports contract negotiations, process improvement analysis, tool purchases...

-In software industry Constructive Cost Model (COCOMO) is considered to be the most widely used model for effort estimation. Cost drivers have significant influence on the COCOMO and this research investigates the role of cost drivers in improving the precision of effort estimation. It is important to stress that uncertainty at the input level of the COCOMO yields uncertainty at the output, whi...

The COCOMO Model is well known as the currently predominate model for software cost estimation. It allows one to work from linguistic variables to estimate software project effort and schedule. This basis in linguistic variables encourages research of the COCOMO Model as a fuzzy system. As is known in fuzzy circles and is shown here, fuzzy arithmetic based on the popular fuzzy extension princip...

Cost estimation is a critical issue for software organizations. Good estimates can help us make more informed decisions (controlling and planning software risks), if they are reliable (correct) and valid (stable). In this study, we apply a variable reduction technique (based on auto-associative feed--forward neural networks – called Curvilinear component analysis) to log-linear regression funct...

Nowadays, effort estimation in software projects is turned to one of the key concerns for project managers. In fact, accurately estimating of essential effort to produce and improve a software product is effective in software projects success or fail, which is considered as a vital factor. Lack of access to satisfying accuracy and little flexibility in existing estimation models have attracted ...

Various SDLC models are available which are employed by different organizations depending upon their need and requirement of software being developed [1],[2]. Each company either follows a fixed SDLC or randomly chooses SDLC model. There were various SDLC models available but none of them were capable in addressing the issue of release management. We have developed a SDLC model – “SDLC VISHWAS”...

This contribution deals with problems related to an effort estimation of the software projects which are connected to the development of secured products. The aim of this contribution is to present an option of an effective consideration of the effort which is connected with the software products development. The FPA and COCOMO II methods for cost estimation are extended by the security factors...