A verification-supported evolution approach to assist software application engineers in industrial factory automation

Automated production systems (aPS) are complex systems with high reliability standards which can – besides through traditional testing – be ensured by verification using formal methods. In this paper we present a development process for aPS software supported by efficient formal techniques with easy-to-use specification formalisms to incease applicability in the aPS engineering domain. Our approach is tailored to the development of evolving aPS as existing behavior of earlier system revisions is reused as specification for the verification. The approach covers three verification phases: regression verification, verification of critical interlock invariants and delta specification and verification. The approach is designed to be comprehensible by aPS software engineers: Two practically applicable specification means are presented.

                       Formal methods have not yet been widely adapted in industrial aPS
                       development since they lack (a) scalability, and (b) concise and
                       comprehensible specification means.
                       This paper shows concepts how to tackle both issues by referring to
                       existing behavior during evolution verification to advance towards the
                       goal of applicability in the aPS engineering domain.
                       

                       A laboratory case study demonstrates the feasibility and performance of
                       the approach and shows promising results.
@inproceedings{UlewiczUlbrichEA2016,
	ids = {Ulewicz16},
	author = {['Sebastian Ulewicz', 'Mattias Ulbrich', 'Alexander Weigl', 'Michael Kir\xadsten', 'Franziska Wiebe', 'Bernhard Beckert', 'Birgit Vogel-Heuser']},
	booktitle = {IEEE International Symposium on Assembly and Manufacturing (ISAM 2016)},
	title = {A Veri­fi­ca­tion-Supported Evolution Approach to Assist Software Application Engineers in Industrial
                  Factory Automation},
	year = {2016},
	month = {August},
	pages = {19–25},
	publisher = {IEEE},
	--address = {Fort Worth, USA},
	abstract = {Automated production systems (aPS) are complex systems
                           with high reliability standards which can – besides through traditional
                           testing – be ensured by verification using formal methods.
                           In this paper we present a development process for aPS software
                           supported by efficient formal techniques with easy-to-use specification
                           formalisms to incease applicability in the aPS engineering domain.
                           Our approach is tailored to the development of evolving aPS as existing
                           behavior of earlier system revisions is reused as specification for the
                           verification.
                           The approach covers three verification phases: regression verification,
                           verification of critical interlock invariants and delta specification
                           and verification.
                           The approach is designed to be comprehensible by aPS software engineers:
                           Two practically applicable specification means are presented.
                           

                           Formal methods have not yet been widely adapted in industrial aPS
                           development since they lack (a) scalability, and (b) concise and
                           comprehensible specification means.
                           This paper shows concepts how to tackle both issues by referring to
                           existing behavior during evolution verification to advance towards the
                           goal of applicability in the aPS engineering domain.
                           

                           A laboratory case study demonstrates the feasibility and performance of
                           the approach and shows promising results.},
	--date = {August 21-22},
	doi = {10.1109/ISAM.2016.7750714},
	place = {Fort Worth, TX, USA}
}