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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.
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 .
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]).
In 1976 PRICE introduced its Hardware Life-Cycle Cost Model. This was followed in 1977 by a Software Development Cost Model, one of the oldest and most widely used software parametric models for large-scale software development projects. [6] In 1983 the company launched its first application for microcircuit cost modelling. TruePlanning
Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., software metrics) as well as related processes of their development and evolution.
In software engineering and development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. [1] [2] Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms.
Price Intelligence (or Competitive Price Monitoring) refers to the awareness of market-level pricing intricacies and the impact on business, typically using modern data mining techniques. It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. [ 1 ]
It is important to note, however, that the accuracy and usability of results will depend greatly on the level of data analysis and the quality of assumptions. [ 1 ] Predictive analytics is often defined as predicting at a more detailed level of granularity, i.e., generating predictive scores (probabilities) for each individual organizational ...