Title :
Measuring the constraint complexity of automotive embedded software systems
Author :
Garg, Mohit ; Lai, Richard
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia
Abstract :
The rapid growth of software-based functionalities has made automotive Electronic Control Units (ECUs) significantly complex. Factors affecting software complexity of components embedded in an ECU depend not only on the interface and interaction properties, but also on the added constraints associated with their usage and stringent timing requirements. Traditional constraint complexity measures are not adequate for embedded real-time systems as they do not yet sufficiently provide a measure of the timing constraints described by AUTOSAR languages. This paper presents a method for measuring the structural and timing constraint complexity of automotive embedded software systems at the specification level.
Keywords :
automotive engineering; embedded systems; formal specification; software metrics; AUTOSAR languages; ECU; automotive embedded software systems; constraint complexity; electronic control units; software complexity; software-based functionalities; specification level; stringent timing requirements; Automotive engineering; Complexity theory; Real-time systems; Software; Software measurement; Timing; Unified modeling language; Automotive embedded software system; constraint complexity; software measure; timing dependency;
Conference_Titel :
Data and Software Engineering (ICODSE), 2014 International Conference on
Print_ISBN :
978-1-4799-8175-5
DOI :
10.1109/ICODSE.2014.7062701
