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It is important to be aware of the limitations of each traditional approach to measuring software development productivity. [22] In addition, other factors such as ease of understanding and communicating the results of an approach, ease of use of an approach, and cost of introduction of an approach should be considered in a selection process.
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Function points were defined in 1979 in Measuring Application Development Productivity by Allan J. Albrecht at IBM. [4] The functional user requirements of the software are identified and each one is categorized into one of five types: outputs, inquiries, inputs, internal files, and external interfaces.
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 .
"Software analytics aims to obtain insightful and actionable information from software artifacts that help practitioners accomplish tasks related to software development, systems, and users." [ 1 ] --- centers on analytics applied to artifacts a software system is composed of.
PRICE Systems’ cost estimating software was first developed in the 1970s when David Shore, a vice president in RCA's Government Group discovered that Frank Freiman, in the purchasing department, was able to predict the cost of military new systems with considerable accuracy before design was completed and a parts breakdown was available for ...
ATAM was developed by the Software Engineering Institute at the Carnegie Mellon University. Its purpose is to help choose a suitable architecture for a software system by discovering trade-offs and sensitivity points. ATAM is most beneficial when done early in the software development life-cycle when the cost of changing architectures is minimal.
Predictive analytics, or predictive AI, encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.