Embedded Software Memory Size Estimation Using COSMIC Function Points – A Case Study

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Sophie Stern, Cigdem Gencel
Title: Embedded Software Memory Size Estimation Using COSMIC Function Points – A Case Study
Conference name: 20th International Workshop on Software Measurement (IWSM) / Metrikon / MENSURA Joint Conference
Year: 2010
Pagination: 393-406
ISBN: 978-3-8322-9618-6
Publisher: Shaker Verlag
City: Stuttgart
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Authors e-mail: sophie.stern@renault.com, cigdem.gencel@bth.se
Language: English
Abstract: Early and accurate memory size estimation of Electronic Control Units (ECUs), which are dedicated embedded systems providing major software functionalities, is essential for automotive industry. Usually, experts using their expert judgments perform the estimations. Software functional size measures, which attempt at measuring the size by capturing the amount of functionality, have become popular in software industry particularly for effort estimation and project management purposes due to their availability early in the project lifecycle. This study investigates the potential usage of COSMIC Function Points as a predictor of memory size in comparison to expert opinion methods through conducting a case study in Renault.
Subject: Software Engineering\General
Keywords: Memory size estimation, Embedded systems, Functional Size Measurement, COSMIC Function Points, Case Study
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