16 Use of machine learning for software project cost estimation based on ISO/IEC standards
Beata Czarnacka-Chrobot
1 Introduction
The scarcity of benchmarking (historical) data is considered to be one of the fundamental, if not essential, problems of proper cost estimation of software projects. Incorrect cost estimation of such projects means that many of them are not completed or are completed at significantly greater costs than planned, which in turn not only reduces the success rate of software projects, but above all causes the waste of vast amounts of money invested in IT projects. Large losses in this respect are borne not only by companies, but most of all by state budgets, and therefore by us – citizens. ...
Get Analytics in Finance and Risk Management now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
