Abstract
Control Theory and feedback control in particular have been steadily gaining momentum in software engineering for adaptive systems. Feedback controllers work by continuously measuring system outputs, comparing them with reference targets and adjusting control inputs if there is a mismatch. In Control Theory, quantifying the effects of control input on measured output is a process known as system identification. This process usually relies either on detailed and complex system models or on system observation. In this paper, we adopt a Requirements Engineering perspective and ideas from Qualitative Reasoning to propose a language and a systematic system identification method for adaptive software systems that can be applied at the requirements level, with the system not yet developed and its behavior not completely known. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Silva Souza, V. E., Lapouchnian, A., & Mylopoulos, J. (2011). System identification for adaptive software systems: A requirements engineering perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6998 LNCS, pp. 346–361). https://doi.org/10.1007/978-3-642-24606-7_26
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
