626,407 research outputs found

    Software development environments and tools in MDE

    Get PDF
    Abstract. Model-Driven Engineering (MDE) is the notion that we can construct a model of a system that we can then transform into the real thing. The development of software in MDE using Domain-Specific Languages (DSLs) has two phases. First, the development of artifacts such as DSLs andĀ  transformation mechanisms by the modeling experts. Second, people non-technical experts (domain expert or end user) using the artifacts created develop applications simply because of the high level of abstraction allowed by technology. Several factors are considered to limit the use of MDE. One of them,Ā  is the lack of knowledge the tools and the development activities with MDE. To support the MDE initiative, the present work makes a description of the theoretical foundations of MDE, also describes the main activities to build several MDE artifacts with some of the tools most known in this technology

    An approach to software maintenance support using a syntactic source code analyser data base : this thesis is presented in a partial fulfillment of the requirements for the degree of Master of Arts in Computer Science at Massey University

    Get PDF
    In this thesis, the development of a software maintenance tool called a syntactic source code analyser (SSCA) is summarised. An SSCA supports other maintenance tools which interact with source code by creating a data base of source information which has links to a formatted version of program source code. The particular SSCA presented handles programs written in a version of COBOL. Before developing a SSCA system, aspects of software maintenance need to be considered. Hence, the scope, definitions and problems of maintenance activities are briefly reviewed and maintenance support through environments, software metrics, and specific tools and techniques examined. A complete maintenance support environment for an application is found to overlap considerably with the application documentation system and shares some tools with development environments. Program source code is also identified as the fundamental documentation of an application and interaction with this source code is a requirement of many maintenance support tools

    Development of a comprehensive software engineering environment

    Get PDF
    The generation of a set of tools for software lifecycle is a recurring theme in the software engineering literature. The development of such tools and their integration into a software development environment is a difficult task because of the magnitude (number of variables) and the complexity (combinatorics) of the software lifecycle process. An initial development of a global approach was initiated in 1982 as the Software Development Workbench (SDW). Continuing efforts focus on tool development, tool integration, human interfacing, data dictionaries, and testing algorithms. Current efforts are emphasizing natural language interfaces, expert system software development associates and distributed environments with Ada as the target language. The current implementation of the SDW is on a VAX-11/780. Other software development tools are being networked through engineering workstations

    Solving Linux Upgradeability Problems Using Boolean Optimization

    Full text link
    Managing the software complexity of package-based systems can be regarded as one of the main challenges in software architectures. Upgrades are required on a short time basis and systems are expected to be reliable and consistent after that. For each package in the system, a set of dependencies and a set of conflicts have to be taken into account. Although this problem is computationally hard to solve, efficient tools are required. In the best scenario, the solutions provided should also be optimal in order to better fulfill users requirements and expectations. This paper describes two different tools, both based on Boolean satisfiability (SAT), for solving Linux upgradeability problems. The problem instances used in the evaluation of these tools were mainly obtained from real environments, and are subject to two different lexicographic optimization criteria. The developed tools can provide optimal solutions for many of the instances, but a few challenges remain. Moreover, it is our understanding that this problem has many similarities with other configuration problems, and therefore the same techniques can be used in other domains.Comment: In Proceedings LoCoCo 2010, arXiv:1007.083

    Modeling, Simulation and Emulation of Intelligent Domotic Environments

    Get PDF
    Intelligent Domotic Environments are a promising approach, based on semantic models and commercially off-the-shelf domotic technologies, to realize new intelligent buildings, but such complexity requires innovative design methodologies and tools for ensuring correctness. Suitable simulation and emulation approaches and tools must be adopted to allow designers to experiment with their ideas and to incrementally verify designed policies in a scenario where the environment is partly emulated and partly composed of real devices. This paper describes a framework, which exploits UML2.0 state diagrams for automatic generation of device simulators from ontology-based descriptions of domotic environments. The DogSim simulator may simulate a complete building automation system in software, or may be integrated in the Dog Gateway, allowing partial simulation of virtual devices alongside with real devices. Experiments on a real home show that the approach is feasible and can easily address both simulation and emulation requirement

    AN EMPIRICAL STUDY OF LEAN AND AGILE INFLUENCES IN SOFTWARE CONFIGURATION MANAGEMENT

    Get PDF
    Based on a web based survey of 158 IT software development practitioners, mostly from different organizations, this paper examines the application of Software Configuration Management (SCM) process in adaptable software development environments. From the literature review six independent variables and five dependent variables were derived to answer the research question ā€œhow does organization size impact on the usage of SCM process in adaptable software development environments?ā€ The six hypotheses confirmed that organization size does not impact on the usage of SCM process in adaptable software development environments. Also, all sizes of organizations consider SCM process valuable and have similar software traceability approaches with different process formalities and tools sophistications. This study helps SCM practitioners to build a better understanding of the relationships between adaptable software development environment, lean principles and practices, and the tools and technologies established to facilitate the coexistence of Agile and SCM practices
    • ā€¦
    corecore