In many software design and evaluation techniques, either the software evolution problem is not systematically elaborated, or only the impact of evolution is considered. Thus, most of the time software is changed by e...
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Requirements traceability is becoming increasingly significant element in softwareengineering. It provides critical function in the development and maintenance of a software system. From the software evolution point ...
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Applying software reuse to many Embedded Real-Time (ERT) systems poses significant challenges to industrial software processes due to the resource-constrained and real-time requirements of the systems. Autonomous Mobi...
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Applying software reuse to many Embedded Real-Time (ERT) systems poses significant challenges to industrial software processes due to the resource-constrained and real-time requirements of the systems. Autonomous Mobile Robot (AMR) system is a class of ERT systems, hence, inherits the challenge of applying software reuse in general ERT systems. Furthermore, software reuse in AMR systems is challenged by the diversities in terms of robot physical size and shape, environmental interaction and implementation platform. Thus, it is envisioned that component-based softwareengineering will be the suitable way to promote software reuse in AMR systems with consideration to general requirements to be self-contained, platform-independent and real-time predictable. A framework for component-oriented programming for AMR software development using PECOS component model is proposed in this paper. The main features of this framework are: (1) use graphical representation for components definition and composition;(2) target C language for optimal code generation with resource-constrained micro-controller;and (3) minimal requirement for run-time support. Real-time implementation indicates that, the PECOS component model together with the proposed framework is suitable for resource constrained embedded AMR systems software development.
This paper aims to obtain a baseline snapshot of Project Management processes using a two-phase questionnaire to identify both performed and nonperformed practices. The proposed questionnaire is based on the Level 2 p...
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This paper presents an overview of the verification framework ALICE in its current version 0.7. It is based on the generic theorem prover Isabelle [Pau03a]. Within ALICE a software or hardware component is specified a...
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This paper presents an overview of the verification framework ALICE in its current version 0.7. It is based on the generic theorem prover Isabelle [Pau03a]. Within ALICE a software or hardware component is specified as a state-full black-box with directed communication channels. Components send and receive asynchronous messages via these channels. The behavior of a component is generally described as a relation on the observations in form of streams of messages flowing over its input and output channels. Untimed and timed as well as state-based, recursive, relational, equational, assumption/guarantee, and functional styles of specification are supported. Hence, ALICE is well suited for the formalization and verification of distributed systems modeled with this stream-processing paradigm.
The invariant using Radon transform is constructed and a new image retrieval algorithm based on the wavelet transform and Radon transform is presented. It turns to be getting multi-scale edge images by the wavelet mod...
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Personalized recommendation is an important application of context-aware system and is being used widely. However, most existed systems provide personalized information to users only based on user preferences or user ...
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Adopting new tools and technologies on a development process can be a risky endeavor. Will the project accept the new technology? What will be the impact? Far too often the project is forced to adopt the new technolog...
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Spectrum-based fault localization shortens the test-diagnose-repair cycle by reducing the debugging effort. As a light-weight automated diagnosis technique it can easily be integrated with existing testing schemes. Ho...
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Random Testing (RT) is a fundamental technique of software testing. Adaptive Random Testing (ART) has recently been developed as an enhancement of RT that has better fault detection effectiveness. Several methods (alg...
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