Software Process and Product Measurement: International by Luigi Buglione, Juan J. Cuadrado-Gallego, J. Antonio

By Luigi Buglione, Juan J. Cuadrado-Gallego, J. Antonio Gutiérrez de Mesa (auth.), Reiner R. Dumke, René Braungarten, Günter Büren, Alain Abran, Juan J. Cuadrado-Gallego (eds.)

This booklet constitutes the refereed lawsuits of 3 joint occasions - the overseas Workshop on software program size, IWSM 2008, the DASMA Metrik Kongress, Metrikon 2008, and the foreign convention on software program procedure and Product size, Mensura 2008, held in Munich, Germany, in November 2008.

The 30 revised complete papers offered have been conscientiously reviewed and chosen from over 50 submissions for inclusion within the publication. The papers are equipped in topical sections on estimation types, size technique, attempt estimation, dimension courses, new ways, prozessbewertung, dimension size, schooling, dimension in software program lifecycle, and product measurement.

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Additional info for Software Process and Product Measurement: International Conferences IWSM 2008, Metrikon 2008, and Mensura 2008 Munich, Germany, November 18-19, 2008. Proceedings

Example text

V= f eval (ei ) ∀ei ∈ E} (6) e worst = eindex | index = min ({x | v x = min(V )}) ∧ eindex ∈ E (7) E ′ = E / e worst (8) To determine the best evaluated service, Formulas 5 to 8 are repeated until E ′ contains only 1 element. It provides the needed functionality and is the most appropriate one according to the specified quality model. After the service’s selection it can be executed and measurement about runtime behavior will be captured to get additional quality evaluations for this service.

2, it should still be possible to state the viewpoint from which the measurement has been carried out (end-user or developer). 0 and substituted by the concept of ‘functional users’. These proposals will lead to an increased data quality of projects measured in COSMIC in the ISBSG repositories. Proposals for Increasing Benchmarking Data Quantity and Quality of Projects 23 5 Encourage Data Submission There are a number of initiatives to encourage COSMIC usage and data submission. One of the initiatives is an invitation letter that is composed by the COSMIC Benchmarking Committee in joint effort with the COSMIC MPC and the ISBSG.

4. Service Selection Process for each service i. These vi , j are the measurement/simulation values to anticipate the optimal decision for the next process step. vinorm = vi − min(v) * (max norm − min norm ) + min norm max(v) − min(v) (3) With the help of the weighted requirements matrix from the (maybe adjusted) quality model the last step – the identification of the optimal service according to the empirical data and the quality model – can be performed (see Formulas 4 to 8). Formula 4 adjusts the normalized evaluation values to ensure proper calculation.

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