10,715 research outputs found
Glossary of software engineering laboratory terms
A glossary of terms used in the Software Engineering Laboratory (SEL) is presented. The terms are defined within the context of the software development environment for flight dynamics at Goddard Space Flight Center. A concise reference for clarifying and understanding the language employed in SEL documents and data collection forms is provided
An automated Model-based Testing Approach in Software Product Lines Using a Variability Language.
This paper presents the application of an automated testing approach for Software Product Lines (SPL) driven by its state-machine and variability models. Context: Model-based testing provides a technique for automatic generation of test cases using models. Introduction of a variability model in this technique can achieve testing automation in SPL. Method: We use UML and CVL (Common Variability Language) models as input, and JUnit test cases are derived from these models. This approach has been implemented using the UML2 Eclipse Modeling platform and the CVL-Tool. Validation: A model checking tool prototype has been developed and a case study has been performed. Conclusions: Preliminary experiments have proved that our approach can find structural errors in the SPL under test. In our future work we will introduce Object Constraint Language (OCL) constraints attached to the input UML mode
Glossary of Software Engineering Laboratory terms
A glossary of terms used in the Software Engineering Laboratory (SEL) is given. The terms are defined within the context of the software development environment for flight dynamics at the Goddard Space Flight Center. A concise reference for clarifying the language employed in SEL documents and data collection forms is given. Basic software engineering concepts are explained and standard definitions for use by SEL personnel are established
A planning approach to the automated synthesis of template-based process models
The design-time specification of flexible processes can be time-consuming and error-prone, due to the high number of tasks involved and their context-dependent nature. Such processes frequently suffer from potential interference among their constituents, since resources are usually shared by the process participants and it is difficult to foresee all the potential tasks interactions in advance. Concurrent tasks may not be independent from each other (e.g., they could operate on the same data at the same time), resulting in incorrect outcomes. To tackle these issues, we propose an approach for the automated synthesis of a library of template-based process models that achieve goals in dynamic and partially specified environments. The approach is based on a declarative problem definition and partial-order planning algorithms for template generation. The resulting templates guarantee sound concurrency in the execution of their activities and are reusable in a variety of partially specified contextual environments. As running example, a disaster response scenario is given. The approach is backed by a formal model and has been tested in experiment
A methodology for producing reliable software, volume 1
An investigation into the areas having an impact on producing reliable software including automated verification tools, software modeling, testing techniques, structured programming, and management techniques is presented. This final report contains the results of this investigation, analysis of each technique, and the definition of a methodology for producing reliable software
Distributed Real-Time Emulation of Formally-Defined Patterns for Safe Medical Device Control
Safety of medical devices and of their interoperation is an unresolved issue
causing severe and sometimes deadly accidents for patients with shocking
frequency. Formal methods, particularly in support of highly reusable and
provably safe patterns which can be instantiated to many device instances can
help in this regard. However, this still leaves open the issue of how to pass
from their formal specifications in logical time to executable emulations that
can interoperate in physical time with other devices and with simulations of
patient and/or doctor behaviors. This work presents a specification-based
methodology in which virtual emulation environments can be easily developed
from formal specifications in Real-Time Maude, and can support interactions
with other real devices and with simulation models. This general methodology is
explained in detail and is illustrated with two concrete scenarios which are
both instances of a common safe formal pattern: one scenario involves the
interaction of a provably safe pacemaker with a simulated heart; the other
involves the interaction of a safe controller for patient-induced analgesia
with a real syringe pump.Comment: In Proceedings RTRTS 2010, arXiv:1009.398
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