A comparison between automated generated code tools using model based development

Corrêa, Guilherme Coelho da Silva Stanisce; Cunha, Adilson Marques da; Dias, Luiz Alberto Vieira; Saotome, Osamu

doi:10.1109/dasc.2011.6096135

Cited by 3 publications

(9 citation statements)

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Section: Approach and Related Workmentioning

confidence: 99%

“…Mantere et al compare static code analysis tools; compare reverse engineering tools; compare public end‐to‐end bandwidth estimation tools, clone detection tools, collaborative business process tools, bug finding tools, version control tools, tools to detect fake websites. In , automatic generation tools are compared with a manual process of code production.…”

Section: Approach and Related Workmentioning

confidence: 99%

“…It is important to notice that there is no consensus on how many ‘samples’ are necessary to compare tools. The comparison is carried out theoretically (without a systematic application of the tools on examples) for and . A single small (toy) program is used in and .…”

Section: Approach and Related Workmentioning

confidence: 99%

“…Most of the time, the conclusions are drawn from the application of the tools in a set of examples or case studies, following the method. Results are displayed at least in a table, and from time to time, with a graphical representation, such as histograms in [7], Kiviat diagrams [11,12], or two-axes representation [5,9,11].It is important to notice that there is no consensus on how many 'samples' are necessary to compare tools. The comparison is carried out theoretically (without a systematic application of the tools on examples) for [8] and [12].…”

mentioning

confidence: 99%

“…It is the case for [11] and [6]. The main conclusion of [12] is that automatic generation tools are better than a manual process. However, in [5] and [7], authors underline that strengths and weaknesses are too different for the analyzed tools such that it is not possible to choose one among them.…”

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confidence: 99%

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Selecting a software engineering tool: lessons learnt from mutation analysis

Delahaye

Bousquet

2015

Softw Pract Exp

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International audienceSoftware developers employ many tools in every step of the development. As automation progresses, tools take a more and more important place. A common and difficult problem is choosing a tool among every tool for a given task.As a particular instance of this problem, this paper considers mutation analysis tools. Mutation analysis is a way to evaluate the quality of a test suite. The quality is measured as the ability of the test suite to detect faults injected into the program under tests. A fault is detected if at least one test case gives different results on the original program and the fault-injected one. Mutation tools aim at automating and speeding both the generation of fault-injected variants, called mutants, and the execution of the test suite on those mutants.This paper proposes a methodology to compare tools and applies it for comparing mutation tools. This methodology proposes to dress a list of comparison criteria as well as a list of usage profiles. Mutation tools for Java are compared on paper and by experiments. The work is then extended to other languages to assert the pertinence of the comparison criteria and the usage profiles. Finally, lessons are drawn from our selection process

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Section: Approach and Related Workmentioning

confidence: 99%

Section: Approach and Related Workmentioning

confidence: 99%

Section: Approach and Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Selecting a software engineering tool: lessons learnt from mutation analysis

Delahaye

Bousquet

2015

Softw Pract Exp

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Utilization of Eclipse-based Software Tools in Teaching a New Software Development Methodology to Engineers

He¹,

Huang²

2014 ASEE International Forum Proceedings

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Integrating Modern Model-based Development Concepts and Tools in a Programming Tools course

He¹,

Huang²

2013 North Midwest Section Meeting Proceedings

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Software programming is often considered to be difficult for many engineering students. Nowadays, many control and automation systems are facing the increasingly sophisticated functional and non-functional demands. In such systems, software portion is always expected to have the greater impact. Therefore, educators continue to face great challenges in getting students to be capable of conducting efficient software development. In the last decade, modelbased design (MBD) is an emerging development methodology for modern software. Its efficiency has been demonstrated in large scale software engineering projects. This paper presents our experience of integrating modern MBD concepts and tools into a Programming Tools (PT) course. First, the basic components in the MBD process are exposed to students, especially its two unique components -automated code generation and model-based verification and validation (V&V). Second, three modeling languages: Matlab/Simulink, LabVIEW and SCADE are exposed to students. They all have been widely applied in embedded control and automation domains. Third, input programming languages of these selected tools are introduced to students to help them apply the tools in the laboratory assignments and class project.

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A comparison between automated generated code tools using model based development

Cited by 3 publications

References 4 publications

Selecting a software engineering tool: lessons learnt from mutation analysis

Selecting a software engineering tool: lessons learnt from mutation analysis

Utilization of Eclipse-based Software Tools in Teaching a New Software Development Methodology to Engineers

Integrating Modern Model-based Development Concepts and Tools in a Programming Tools course

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