11,722 research outputs found
SPEEDY: An Eclipse-based IDE for invariant inference
SPEEDY is an Eclipse-based IDE for exploring techniques that assist users in
generating correct specifications, particularly including invariant inference
algorithms and tools. It integrates with several back-end tools that propose
invariants and will incorporate published algorithms for inferring object and
loop invariants. Though the architecture is language-neutral, current SPEEDY
targets C programs. Building and using SPEEDY has confirmed earlier experience
demonstrating the importance of showing and editing specifications in the IDEs
that developers customarily use, automating as much of the production and
checking of specifications as possible, and showing counterexample information
directly in the source code editing environment. As in previous work,
automation of specification checking is provided by back-end SMT solvers.
However, reducing the effort demanded of software developers using formal
methods also requires a GUI design that guides users in writing, reviewing, and
correcting specifications and automates specification inference.Comment: In Proceedings F-IDE 2014, arXiv:1404.578
HeteroGenius: A Framework for Hybrid Analysis of Heterogeneous Software Specifications
Nowadays, software artifacts are ubiquitous in our lives being an essential
part of home appliances, cars, cell phones, and even in more critical
activities like aeronautics and health sciences. In this context software
failures may produce enormous losses, either economical or, in the worst case,
in human lives. Software analysis is an area in software engineering concerned
with the application of diverse techniques in order to prove the absence of
errors in software pieces. In many cases different analysis techniques are
applied by following specific methodological combinations that ensure better
results. These interactions between tools are usually carried out at the user
level and it is not supported by the tools. In this work we present
HeteroGenius, a framework conceived to develop tools that allow users to
perform hybrid analysis of heterogeneous software specifications.
HeteroGenius was designed prioritising the possibility of adding new
specification languages and analysis tools and enabling a synergic relation of
the techniques under a graphical interface satisfying several well-known
usability enhancement criteria. As a case-study we implemented the
functionality of Dynamite on top of HeteroGenius.Comment: In Proceedings LAFM 2013, arXiv:1401.056
SAM-SoS: A stochastic software architecture modeling and verification approach for complex System-of-Systems
A System-of-Systems (SoS) is a complex, dynamic system whose Constituent Systems (CSs) are not known precisely at design time, and the environment in which they operate is uncertain. SoS behavior is unpredictable due to underlying architectural characteristics such as autonomy and independence. Although the stochastic composition of CSs is vital to achieving SoS missions, their unknown behaviors and impact on system properties are unavoidable. Moreover, unknown conditions and volatility have significant effects on crucial Quality Attributes (QAs) such as performance, reliability and security. Hence, the structure and behavior of a SoS must be modeled and validated quantitatively to foresee any potential impact on the properties critical for achieving the missions. Current modeling approaches lack the essential syntax and semantics required to model and verify SoS behaviors at design time and cannot offer alternative design choices for better design decisions. Therefore, the majority of existing techniques fail to provide qualitative and quantitative verification of SoS architecture models. Consequently, we have proposed an approach to model and verify Non-Deterministic (ND) SoS in advance by extending the current algebraic notations for the formal models as a hybrid stochastic formalism to specify and reason architectural elements with the required semantics. A formal stochastic model is developed using a hybrid approach for architectural descriptions of SoS with behavioral constraints. Through a model-driven approach, stochastic models are then translated into PRISM using formal verification rules. The effectiveness of the approach has been tested with an end-to-end case study design of an emergency response SoS for dealing with a fire situation. Architectural analysis is conducted on the stochastic model, using various qualitative and quantitative measures for SoS missions. Experimental results reveal critical aspects of SoS architecture model that facilitate better achievement of missions and QAs with improved design, using the proposed approach
Developing a distributed electronic health-record store for India
The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India
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