Siddhartha: A Method for Developing Domain-Specific Test Driver Generators
نویسندگان
چکیده
Siddhartha applies the domain-specific language (DSL) paradigm to solve difficult problems in specificationbased testing (SBT). Domain-specific test case data specifications (TestSpecs) and difficult-to-test program design styles engender difficult SBT problems, which are the essential phenomena of interest to Siddhartha. Difficult-to-test program design styles are explicitly represented by domain-specific, unit test driver reference designs that accommodate the problematic program design styles. DSLs are developed to represent both TestSpecs and Driver reference designs. A DSL language processing tool (a translator) is developed that maps TestSpecs into Drivers. We developed a prototype implementation of Siddhartha via Reasoning SDK (formerly known as Software Refinery) and developed two domain-specific TestSpec→Driver translators. Each translator generated Drivers that revealed new failures in a real-world digital flight control application program.
منابع مشابه
Siddhartha: A Technique for Developing Domain-Specific Testing Tools
Existing specification-based software testing tools are difficult to use in many real-world application domains. This occurs when a tool’s design is constrained along dimensions (which are often theoretically-oriented) which are incompatible with the constraints at work in the application domain (which are often business-oriented). When this problem occurs and the benefits to the software organ...
متن کاملOnline Aggregation of Coherent Generators Based on Electrical Parameters of Synchronous Generators
This paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. An interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. Hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area bl...
متن کاملDeveloping a Model of Heterogeneity in Driver’s Behavior
Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...
متن کاملRelationship Model of Abstractions Used for Developing Domain Generators
In this paper, we analyze the abstractions used for developing component-based domain generators. These include programming paradigms, programming languages, component models, and generator architecture models. On the basis of the analysis, we present a unified relationship model between the domain content, technological factors (structuring, composition, and generalization), and domain archite...
متن کاملParser-Based Retraining for Domain Adaptation of Probabilistic Generators
While the effect of domain variation on Penntreebank-trained probabilistic parsers has been investigated in previous work, we study its effect on a Penn-Treebank-trained probabilistic generator. We show that applying the generator to data from the British National Corpus results in a performance drop (from a BLEU score of 0.66 on the standard WSJ test set to a BLEU score of 0.54 on our BNC test...
متن کامل