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020 ▼a 9780438136601
035 ▼a (MiAaPQ)AAI10744363
035 ▼a (MiAaPQ)umd:18752
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Schulze, Christoph. ▼0 (orcid)0000-0001-9300-5641.
24510 ▼a Model-based Testing of Off-nominal Behaviors.
260 ▼a [S.l.]: ▼b University of Maryland, College Park., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 262 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Advisers: Rance Cleaveland
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018.
520 ▼a Off-nominal behaviors (ONBs) are unexpected or unintended behaviors that may be exhibited by a system. They can be caused by implementation and documentation errors and are often triggered by unanticipated external stimuli, such as unforeseen se
520 ▼a This thesis describes the development and evaluation of model-based techniques for the identification and documentation of ONBs. Model-Based Testing (MBT) techniques have been used to provide automated support for thorough evaluation of software
520 ▼a The second part of the thesis presents a framework and associated tooling for the extraction and analysis of specifications for identifying and documenting ONBs. The framework infers behavioral specifications in the form of system invariants fro
590 ▼a School code: 0117.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Maryland, College Park. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996829 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033