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Rounding errors are introduced pervasively when using floating-point arithmetic to approximate real arithmetic. The accumulation or catastrophic cancellation of rounding errors in numerical programs may produce high inaccuracy results, which can cause serious software failures once being triggered. High inaccuracies are known hard to debug and fix manually for developers. Hence, the automated techniques...
Process of detailed testing and verification of all automotive embedded software components generates detailed reports about each segment of tested electronic control units (ECU). The very first group of tests in this process is Acceptance tests, and one of the most important tests in this stage of testing and verification is interface check of the software component. The interface check must ensure...
Accurate dialect identification technique helps in improving the speech recognition systems that exist in most of the present day electronic devices and is also expected to help in providing new services in the field of e-health and telemedicine which is especially important for older and homebound people. The accuracy of a dialect identification system is highly dependent on its speech corpora. Therefore,...
The number of software-driven features within a modern automotive powertrain rises significantly. With increasing number of features, also the risk of undesired interactions between those features rises drastically. This leads to new challenges with regard to efficiency in testing such automotive features. Automated Feature-Interaction-Testing significantly increases the efficiency of such feature...
The correlation between Bulk Current Injection (BCI) and radiated susceptibility (RS) test setups is investigated through the statistical characterization of a parameter called over-testing, which defines the excess of injected interference of BCI with respect to RS. Statistics takes into account lack of knowledge on the frequency response of the common-mode impedance of equipment under test. Unlike...
We examine the impact of strategy and dexterity on video games in which a player must use strategy to decide between multiple moves and must use dexterity to correctly execute those moves. We run simulation experiments on variants of two popular, interactive puzzle games: Tetris, which exhibits dexterity in the form of speed-accuracy time pressure, and Puzzle Bobble, which requires precise aiming...
Background: Test-driven development (TDD) is a technique that repeats short coding cycles interleaved with testing. The developer first writes a unit test for the desired functionality, followed by the necessary production code, and refactors the code. Many empirical studies neglect unique process characteristics related to TDD iterative nature. Aim: We formulate four process characteristic: sequencing,...
Spreadsheets often contain faults that are difficult to localize. Spectrum-based Fault Localization (SFL) assists users in the fault localization process by ranking cells by their suspiciousness to contain a fault. Since the ranking of the basic SFL approach is often imprecise, we propose three techniques to improve it, i.e., dynamic cones, grouping, and tie-breaking. We evaluate these techniques...
In this article we present the results of a case study that identifies test effectiveness as a major business driver in firmware development and consequently outline five core areas of the firmware testing process as critical issues to be addressed within a use-inspired research effort.
Signal software for high-speed railways is safetycritical, controlling communications between trains, tracks, stations, and signals. It is necessary to test railway signal software rigorously. However, ad-hoc approaches still dominate in practice. We proposed a hybrid approach that uses combinatorial testing (CT) and model-based testing (MBT). We applied this systematic approach to testing track circuit...
in idea is to express a ballot to allow voting for up to out the candidates and unlimited participants. The purpose of vote is to select more than one winner among candidates. Our result is complementary to the result by Sun peiyong ¡äs scheme, in the sense, their scheme is not amenable for large-scale electronic voting due to flaw of ballot structure. In our scheme the vote is split and hidden, and...
Mutation Based Fault Localization(MBFL) is a fault localization technique based on mutation analysis, which precisely identifies the location of fault but incurs a high execution cost, since it needs to execute the test suite on a large amount of mutants. Reduction strategies proposed are usually regarding selecting mutation operators or sampling mutants directly, meanwhile at the cost of losing precision...
Some type of tests especially functional tests and stress test requires a large amount of realistic test data. We are proposing a tool that uses random number generators in order to create such data. The tool is designed to be able to set simple attributes of any Java object and in many cases also to create complex structures when objects are connected via references. Random values are created according...
For combination test scenarios with multilayer constraints, a hierarchical combination design method of test case is proposed. According to the different constraints, the test target is divided into different levels, which are interrelated. Each layer has a corresponding constraint. Firstly, test points are analyzed in the highest level in line with corresponding constraint. Second, test points are...
Automation of software testing is a complex problem with multiple facets to be handled in sync to be viable. In this work we propose two novel concepts; model dressing for automated exploratory testing. Model dressing maps an application under test to a model created for the domain of the application. In its simplest form, the domain model defines the business tasks as well as the user actions that...
This paper considers the problem of dynamic support recovery for jointly sparse signals from underdetermined measurements. Unlike Multiple Measurement Vector (MMV) models that assume a fixed support for all time instances, we allow the support to vary temporally following a finite state Markov chain. Instead of using l1 minimization based algorithms, we cast the problem of dynamic support recovery...
On a crowdsourcing platform, in order to cheat for rewards or sabotage the crowdsourcing processes, spam workers submit numerous random and erroneous answers to the tasks published by honest requesters. This type of behaviours extremely reduces the enthusiasm of honest users, which may lead a crowdsourcing platform to a failure. To defend the threats from spam workers, reputation-based defense mechanisms...
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