By Simona Bernardi, José Merseguer, Dorina Corina Petriu
Over the final 20 years, a huge problem for researchers engaged on modeling and evaluate of computer-based structures has been the review of approach Non sensible houses (NFP) comparable to functionality, scalability, dependability and security.
In this ebook, the authors current state-of-the-art model-driven suggestions for modeling and research of software program dependability. so much of them are in line with using UML as software program specification language. From the software program process specification standpoint, such ideas take advantage of the normal extension mechanisms of UML (i.e., UML profiling). UML profiles allow software program engineers so as to add non-functional houses to the software program version, as well as the sensible ones. The authors element the state-of-the-art on UML profile proposals for dependability specification and carefully describe the trade-off they accomplish. the focal point is principally on RAMS (reliability, availability, maintainability and protection) homes. one of the latest profiles, they emphasize the DAM (Dependability research and Modeling) profile, which makes an attempt to unify, lower than a typical umbrella, the former UML profiles from literature, offering features for dependability specification and research. moreover, they describe widespread model-to-model transformation recommendations, which help the iteration of the research version and make allowance for extra overview of alternative RAMS houses. Case reports from various domain names also are awarded, with a purpose to supply practitioners with examples of ways to use the aforementioned techniques.
Researchers and scholars will research easy dependability options and the way to version them utilizing UML and its extensions. they are going to additionally achieve insights into dependability research thoughts by using acceptable modeling formalisms in addition to of model-to-model transformation strategies for deriving dependability research types from UML standards. furthermore, software program practitioners will discover a unified framework for the specification of dependability requisites and houses of UML, and may enjoy the particular case studies.
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Additional resources for Model-Driven Dependability Assessment of Software Systems
X): • Sequence Diagram (SD) is the main type of interaction diagrams. It focuses on the order in which the exchange of messages between the participants of an interaction takes place along the participants’ lifelines. x) shows the messages passed among a set of participants, focusing on the structural relationship between participants. • Interaction overview diagram combines the activity diagram and sequence diagram features: at a high level, it looks like an activity diagrams with activity nodes detailed as sequence diagrams.
11. The Video Detection System, which is the core system running at the main office is represented by the system construct, while the three video cameras and display are represented as devices. A port group and connections are used to model the communication between the remote video cameras, the core system and the display. The software constructs process, data, thread, and system are used to model the internal view of the Video Detection System. The hardware constructs processor, memory, bus, and device are used to describe the system’s physical features.
However, not all dependability attributes can be quantified. S) are not strictly measures, but rather qualitative indicators used to express the level of injury caused by system hazards or seriousness associated with system’s unsafe states. g. by solving a formal dependability model, it has to be checked against the dependability requirements (DR) (Littlewood and Strigini 1993). BOUND) of a specific dependability measure. S) represents the satisfaction of a given safety property. In model-based evaluation, the computation of reliability, availability, and maintainability measures basically means a quantitative evaluation of the formal dependability model, while safety properties imply the qualitative evaluation of the model (Billinton and Allan 1992).