3,508 research outputs found

    Testing M2T/T2M Transformations

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    Presentado en: 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013). Del 29 de septiembre al 4 de octubre. Miami, EEUU.Testing model-to-model (M2M) transformations is becoming a prominent topic in the current Model-driven Engineering landscape. Current approaches for transformation testing, however, assume having explicit model representations for the input domain and for the output domain of the transformation. This excludes other important transformation kinds, such as model-to-text (M2T) and text-to-model (T2M) transformations, from being properly tested since adequate model representations are missing either for the input domain or for the output domain. The contribution of this paper to overcome this gap is extending Tracts, a M2M transformation testing approach, for M2T/T2M transformation testing. The main mechanism we employ for reusing Tracts is to represent text within a generic metamodel. By this, we transform the M2T/T2M transformation specification problems into equivalent M2M transformation specification problems. We demonstrate the applicability of the approach by two examples and present how the approach is implemented for the Eclipse Modeling Framework (EMF). Finally, we apply the approach to evaluate code generation capabilities of several existing UML tools.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Proyecto TIN2011-2379

    Evolving legacy system features into fine-grained components

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    ImageJ2: ImageJ for the next generation of scientific image data

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    ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software's ability to handle the requirements of modern science. Due to these new and emerging challenges in scientific imaging, ImageJ is at a critical development crossroads. We present ImageJ2, a total redesign of ImageJ offering a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. ImageJ2 provides a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs

    Semantic mutation testing

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    This is the Pre-print version of the Article. The official published version can be obtained from the link below - Copyright @ 2011 ElsevierMutation testing is a powerful and flexible test technique. Traditional mutation testing makes a small change to the syntax of a description (usually a program) in order to create a mutant. A test suite is considered to be good if it distinguishes between the original description and all of the (functionally non-equivalent) mutants. These mutants can be seen as representing potential small slips and thus mutation testing aims to produce a test suite that is good at finding such slips. It has also been argued that a test suite that finds such small changes is likely to find larger changes. This paper describes a new approach to mutation testing, called semantic mutation testing. Rather than mutate the description, semantic mutation testing mutates the semantics of the language in which the description is written. The mutations of the semantics of the language represent possible misunderstandings of the description language and thus capture a different class of faults. Since the likely misunderstandings are highly context dependent, this context should be used to determine which semantic mutants should be produced. The approach is illustrated through examples with statecharts and C code. The paper also describes a semantic mutation testing tool for C and the results of experiments that investigated the nature of some semantic mutation operators for C

    Experiences modelling and using object-oriented telecommunication service frameworks in SDL

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    This paper describes experiences in using SDL and its associated tools to create telecommunication services by producing and specialising object-oriented frameworks. The chosen approach recognises the need for the rapid creation of validated telecommunication services. It introduces two stages to service creation. Firstly a software expert produces a service framework, and secondly a telecommunications ‘business consultant' specialises the framework by means of graphical tools to rapidly produce services. Here the focus is given to the underlying technology required. In particular, the advantages and disadvantages of SDL and tools for this purpose are highlighted

    A heuristic-based approach to code-smell detection

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    Encapsulation and data hiding are central tenets of the object oriented paradigm. Deciding what data and behaviour to form into a class and where to draw the line between its public and private details can make the difference between a class that is an understandable, flexible and reusable abstraction and one which is not. This decision is a difficult one and may easily result in poor encapsulation which can then have serious implications for a number of system qualities. It is often hard to identify such encapsulation problems within large software systems until they cause a maintenance problem (which is usually too late) and attempting to perform such analysis manually can also be tedious and error prone. Two of the common encapsulation problems that can arise as a consequence of this decomposition process are data classes and god classes. Typically, these two problems occur together – data classes are lacking in functionality that has typically been sucked into an over-complicated and domineering god class. This paper describes the architecture of a tool which automatically detects data and god classes that has been developed as a plug-in for the Eclipse IDE. The technique has been evaluated in a controlled study on two large open source systems which compare the tool results to similar work by Marinescu, who employs a metrics-based approach to detecting such features. The study provides some valuable insights into the strengths and weaknesses of the two approache

    Unit Test Generation During Software Development: EvoSuite Plugins for Maven, IntelliJ and Jenkins

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    Different techniques to automatically generate unit tests for object oriented classes have been proposed, but how to integrate these tools into the daily activities of software development is a little investigated question. In this paper, we report on our experience in supporting industrial partners in introducing the EVOSUITE automated JUnit test generation tool in their software development processes. The first step consisted of providing a plugin to the Apache Maven build infrastructure. The move from a research-oriented point-and-click tool to an automated step of the build process has implications on how developers interact with the tool and generated tests, and therefore, we produced a plugin for the popular IntelliJ Integrated Development Environment (IDE). As build automation is a core component of Continuous Integration (CI), we provide a further plugin to the Jenkins CI system, which allows developers to monitor the results of EVOSUITE and integrate generated tests in their source tree. In this paper, we discuss the resulting architecture of the plugins, and the challenges arising when building such plugins. Although the plugins described are targeted for the EVOSUITE tool, they can be adapted and their architecture can be reused for other test generation tools as well

    Automated Testing For Software Process Automation

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    Robotic Process Automation is a way of automatizing business processes within short timespans. At the case company the initial automation step is implemented by business experts, rather than software developers. Using developers with limited software engineering experience allows for high speed but raises concerns of automation quality. One way to reduce these concerns is extensive testing, which takes up much time for integration developers. The aim of this thesis is to increase the quality of the development process, while minimizing impact on development time through test automation. The research is carried out as a part of the Robotic Process Automation project at the case company. The artifact produced by this thesis is a process for automatically testing software automation products. Automated testing of software automation solutions was found to be technically feasible, but difficult. Robotic process automation provides several novel challenges for test automation, but certain uses such as regression and integration testing are still possible. Benefits of the chosen approach are traceability for quality, developer confidence and potentially increased development speed. In addition, test automation facilitates the adoption of agile software development methods, such as continuous integration and deployment. The usage of continuous integration in relation to Robotic Process Automation was demonstrated via a newly developed workflow.Ohjelmistoautomaatio on nopea tapa automatisoida liiketoimintaprosessien rutiineja. Tapausyrityksessä automaation luovat ohjelmistonkehittäjien sijasta liiketoiminnan asiantuntijat. Käyttämällä alkukehittäjiä, joilla on vähäisesti kokemusta ohjelmistokehityksestä, saadaan nopeita ratkaisuja, mutta samalla yrityksellä on huolia laadusta. Laatua voidaan mitata testaamalla automaatioratkaisuja laajasti, mutta tähän menee huomattavasti aikaa. Tämän tutkielman tarkoituksena on testiautomaatiota käyttämällä nostaa kehitysprosessin laatua ilman että työmäärä kasvaa merkittävästi. Tutkimus suoritettiin osana tapausyrityksen ohjelmistorobotiikkaprojektia. Tutkielmassa luotiin prosessi, jossa automaattisesti testataan ohjelmistoautomaatioprosesseja. Testaus todettiin tutkimuksessa mahdolliseksi mutta käytännössä haasteelliseksi. Testauksessa ilmeni useita ongelmia, mutta muutamat ratkaisut kuten regressio- ja integraatiotestaus todettiin kuitenkin hyödyllisiksi. Lähestymistavan hyödyiksi todettiin laadun jäljitettävyyden, kehittäjien itseluottamuksen ja kehitysnopeuden kasvu. Lisäksi testiautomaatio mahdollistaa nykyaikaisten ketterien menetelmien kuten jatkuvan integraation käytön. Jatkuvan integraation käyttömahdollisuus demonstroitiin uudistetulla työtavalla
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