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Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project.
These topics are more concerned, typically, with estimating the effort of software engineering, rather than the actual execution of it. Pages in category "Software engineering costs" The following 20 pages are in this category, out of 20 total.
The constructive cost model was developed by Barry W. Boehm in the late 1970s [1] and published in Boehm's 1981 book Software Engineering Economics [2] as a model for estimating effort, cost, and schedule for software projects.
Software researchers and practitioners have been addressing the problems of effort estimation for software development projects since at least the 1960s; see, e.g., work by Farr [8] [9] and Nelson. [10] Most of the research has focused on the construction of formal software effort estimation models.
Software engineering is a field within computer science focused on designing, ... Usually, maintenance takes up 40% to 80% of project cost. [37] Education
It is one of the earliest of these types of models developed. Closely related software parametric models are Constructive Cost Model , Parametric Review of Information for Costing and Evaluation – Software (PRICE-S), and Software Evaluation and Estimation of Resources – Software Estimating Model .
The Constructive Systems Engineering Cost Model (COSYSMO) was created by Ricardo Valerdi while at the University of Southern California Center for Software Engineering. It gives an estimate of the number of person-months it will take to staff systems engineering resources on hardware and software projects.
Eventually integration with standards will come and doing so sooner will cost less (similar to "delayed refactoring"). [8]: 7 Lack of knowledge, when the developer doesn't know how to write elegant code. [9] Lack of ownership, when outsourced software efforts result in in-house engineering being required to refactor or rewrite outsourced code.
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