Testing times: on model-driven test generation for non-deterministic real-time systems

Summary form only given. Although testing has always been the most important technique for the validation of software systems it has only become a topic of serious academic research in the past decade or so. In this period research on the use of formal methods for model-driven test generation and execution of functional test cases has led to a number of promising methods and tools for systematic black-box testing of systems, examples are based on A. Belinfante et al. (1999), J. Tretmans and E. Brinksma (2003), J.-C. Fernandez et al. (1996) and J.-C. Fernandez et al. (1997). Most of these approaches are limited to the qualitative behaviour of systems, and exclude quantitative aspects such as real-time properties. The explosive growth of embedded software, however, has also caused a growing need to extend existing testing theories to the testing of real-time reactive systems. In our presentation we present an extension of Tretmans' ioco theory for test generation as stated in J. Tretmans (1996) for input/output transition systems that includes real-time behaviour

Kelayakan Multimedia Interaktif Berbasis Adobe Flash pada Sub Materi Gangguan Kesehatan Reproduksi

This research aims to know the feasibility of interactive multimedia using adobe flash based on survey of adolescent reproductive system disorders in Puskesamas Alianyang Pontianak. Method was used descriptive quantitative research with technique purposive sampling. Interactive multimedia validated by five media and material experts. Aspect assessed include aspect of software engineering, learning design, and audio-visual communication. The average result of interactive multimedia validation analized found that the aspects of software engineering was 3,70, learning design was 3,62, and audiovisual communication was 3,52. Interactive multimedia using adobe flash was applicable to used as learning media

Using the Work and Organizational Psychology Perspective in Research on Agile Software Development Teams

Background: The development of software has gone from more strict plan-driven projects to involve more human interaction and communication due to approaches like agile software development. With the realization of the importance of psychological aspect comes the possibility of learning from other more established research fields instead of reinventing the wheel. Objective: In the field of work and organizational psychology there is an extensive body of knowledge of work-life in many different contexts. The objective of this thesis is to show some examples of how both methods and models from psychology research can be used in software engineering and specifically to understand agile software development teams. The selected models and tools were; new aspects of work motivation in agile teams in larger organizations, statistical tests of validation (factor analysis), and using the social psychology model of group development in connection to agile teams. Method: The appended papers consist of both exploratory, correlative and validation studies. The research methods range from interviews, focus groups, and survey data as well as qualitative and quantitative interpretations. Eight companies participated consisting of two European-based and six US-based organizations, and a total of 76 people participated in the studies. The data collection procedures were also diverse ranging from recorded in-person interviews and focus groups, to online surveys and remotely recorded phone interviews. Results: The analysis included thematic ditto of interview transcripts, correlation of variables in survey data, and statistical validation tests of a survey itself. Some studies used one research methodology while other triangulate the research question in order to increase the validity of the results. The results strongly indicate that many agile maturity models need more validation, that there are work motivational aspects of employees working on agile teams in a more traditional structure, and that the group development aspect of building agile teams contributes with concrete guidance on moving teams forward. Conclusions: We conclude that there are a set of useful methods and models in work and organizational psychology that are applicable, specifically, to the agile software development context of teams, but also, more generally to a larger perspective of software engineering that involves human factors. This thesis will hopefully convince researchers and practitioners of the usefulness of adding the psychological dimension when trying to understand such social and complex systems

MODEL-BASED VALIDATION AND VERIFICATION OF ANOMALIES IN LEGISLATION

An anomaly in legislation is absence of completeness, consistency and other desirable properties, caused by different semantic, syntactic or pragmatic reasons. In general, the detection of anomalies in legislation comprises validation and verification. The basic idea of research, as presented in this paper, is modelling legislation by capturing domain knowledge of legislation and specifying it in a generic way by using commonly agreed and understandable modelling concepts of the Unified Modelling Language (UML). Models of legislation enable to understand the system better, support the detection of anomalies and help to improve the quality of legislation by validation and verification. By implementing model-based approach, the object of validation and verification moves from legislation to its model. The business domain of legislation has two distinct aspects: a structural or static aspect (functionality, business data etc.), and a behavioural or dynamic part (states, transitions, activities, sequences etc.). Because anomalism can occur on two different levels, on the level of a model, or on the level of legislation itself, a framework for validation and verification of legal regulation and its model is discussed. The presented framework includes some significant types of semantic and syntactic anomalies. Some ideas for assessment of pragmatic anomalies of models were found in the field of software quality metrics. Thus pragmatic features and attributes can be determined that could be relevant for evaluation purposes of models. Based on analogue standards for the evaluation of software, a qualitative and quantitative scale can be applied to determine the value of some feature for a specific model

Quantitative Verification: Formal Guarantees for Timeliness, Reliability and Performance

Computerised systems appear in almost all aspects of our daily lives, often in safety-critical scenarios such as embedded control systems in cars and aircraft or medical devices such as pacemakers and sensors. We are thus increasingly reliant on these systems working correctly, despite often operating in unpredictable or unreliable environments. Designers of such devices need ways to guarantee that they will operate in a reliable and efficient manner. Quantitative verification is a technique for analysing quantitative aspects of a system's design, such as timeliness, reliability or performance. It applies formal methods, based on a rigorous analysis of a mathematical model of the system, to automatically prove certain precisely specified properties, e.g. ``the airbag will always deploy within 20 milliseconds after a crash'' or ``the probability of both sensors failing simultaneously is less than 0.001''. The ability to formally guarantee quantitative properties of this kind is beneficial across a wide range of application domains. For example, in safety-critical systems, it may be essential to establish credible bounds on the probability with which certain failures or combinations of failures can occur. In embedded control systems, it is often important to comply with strict constraints on timing or resources. More generally, being able to derive guarantees on precisely specified levels of performance or efficiency is a valuable tool in the design of, for example, wireless networking protocols, robotic systems or power management algorithms, to name but a few. This report gives a short introduction to quantitative verification, focusing in particular on a widely used technique called model checking, and its generalisation to the analysis of quantitative aspects of a system such as timing, probabilistic behaviour or resource usage. The intended audience is industrial designers and developers of systems such as those highlighted above who could benefit from the application of quantitative verification,but lack expertise in formal verification or modelling

Validation in the Software Metric Development Process

In this paper the validation of software metrics will be examined. Two approaches will be combined: representational measurement theory and a validation network scheme. The development process of a software metric will be described, together with validities for the three phases of the metric development process. Representation axioms from measurement theory are used both for the formal and empirical validation. The differentiation of validities according to these phases unifies several validation approaches found in the software metric's literature

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging -- design, implementation and application on the example of DCE-MRI

Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in DCE MRI/CT, ADC calculations and IVIM modeling in diffusion-weighted MRI and Z-spectra analysis in chemical exchange saturation transfer MRI. Most available software tools are limited to a special purpose and do not allow for own developments and extensions. Furthermore, they are mostly designed as stand-alone solutions using external frameworks and thus cannot be easily incorporated natively in the analysis workflow. We present a framework for medical image fitting tasks that is included in MITK, following a rigorous open-source, well-integrated and operating system independent policy. Software engineering-wise, the local models, the fitting infrastructure and the results representation are abstracted and thus can be easily adapted to any model fitting task on image data, independent of image modality or model. Several ready-to-use libraries for model fitting and use-cases, including fit evaluation and visualization, were implemented. Their embedding into MITK allows for easy data loading, pre- and post-processing and thus a natural inclusion of model fitting into an overarching workflow. As an example, we present a comprehensive set of plug-ins for the analysis of DCE MRI data, which we validated on existing and novel digital phantoms, yielding competitive deviations between fit and ground truth. Providing a very flexible environment, our software mainly addresses developers of medical imaging software that includes model fitting algorithms and tools. Additionally, the framework is of high interest to users in the domain of perfusion MRI, as it offers feature-rich, freely available, validated tools to perform pharmacokinetic analysis on DCE MRI data, with both interactive and automatized batch processing workflows.Comment: 31 pages, 11 figures URL: http://mitk.org/wiki/MITK-ModelFi