Extreme resource constraints in web application development environments often lead to minimal formal testing. This lack of testing compounds the problem of low consumer retention. In this paper, we analyze an existing study of the consumer-perceived severities of 400 realworld web application faults. We provide concrete guidelines to increase the perceived return-on-investment of testing. We s...

Cognates are words in different languages that are associated with each other by language learners. Thus, cognates are important indicators for the prediction of the perceived difficulty of a text. We introduce a method for automatic cognate production using character-based machine translation. We show that our approach is able to learn production patterns from noisy training data and that it w...

One author developed a validation technology for rule bases that aims at several validity statements and a refined rule base. Two other authors are experienced developers of rule bases for commercial and administrative applications and engaged in the Business Rule (BR) research community. To ensure the requested performance of BR, they developed a verification tool for BR. To reach this objecti...

We present a new abstraction of reactive systems interacting with databases. This abstraction is intended to be used for model-based testing. We abstract the database into two sets: present set and absent set, and present a proof of this abstraction. We present two extensions of FSM, the DBFSM and PAFSM. DBFSM are a form of FSM incorporating databases. PAFSM are an abstraction of DBFSM using pr...

Video content can be automatically analysed and indexed using trained classifiers which map low-level features to semantic concepts. Such classifiers need training data consisting of sets of images which contain such concepts and recently it has been discovered that such training data can be located using text-based search to image databases on the internet. Formulating the text queries which l...

Basic-level categories have been shown to be both psychologically significant and useful in a wide range of practical applications. We build a rule-based system to identify basic-level categories in WordNet, achieving 77% accuracy on a test set derived from prior psychological experiments. With additional annotations we found our system also has low precision, in part due to the existence of ma...

Abstra t: As the advance of software component technology, engineers encountered different issues and challenges in testing and automation of configurable components and component-based programs. One of them is how to validate configurable components and programs to achieve adequate test criteria and support test automation. This paper uses a test model, known as a semantic tree, to assist engi...

This article proposes a model-based testing approach for cooperating robotic systems. Coloured Petri Nets are used for capturing the high behavioural multiplicity of such systems in a compact and scalable way. For the purpose of systematically extracting test cases from underlying models, a number of coverage criteria based on different model entities is introduced. Finally, in order to ensure ...

In order to optimize the usage of testing efforts and to assess risks of softwarebased systems, risk-based testing uses risk (re-)assessments to steer all phases in a test process. Several risk-based testing approaches have been proposed in academia and/or applied in industry, so that the determination of principal concepts and methods in risk-based testing is needed to enable a comparison of t...

The validity of large-scale assessments may be compromised, partly due to their content inappropriateness or construct underrepresentation. Few validity studies have focused on such assessments within an argument-based framework. This study analyzed the domain description and evaluation inference of the Ph.D. Entrance Exam of ELT (PEEE) sat by Ph.D. examinees (n = 999) in 2014 in Iran....