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Optimizing Test cases Through Search Techniques -- 2

This is a two-phase project:

PHASE I

A windows application is needed to be developed in any language (java, .Net or Matlab). The main form should include an upload feature, where the user is supposed to upload a txt file and select a technique from the following: Genetic Algorithm, Simulated Annealing, Tabu Search, Particle Swarm Optimization and Ant Colony Optimization. We have 4 files and every file stands for a specific case study. Each file has a number of lines (test cases) and every test case is composed of a sequence of events/actions such as:

[url removed, login to view](1).Remove().Front()

As every file (case study) has a different group of events and specs, the system is supposed to identify the case study and handle it based on its procedure. An algorithm is used for that.

Then, the system should apply the specified technique on the uploaded file and produce the results in txt files too. The output includes optimized test suites that have an optimum number of test cases. it is assumed that the number of test cases after generation should be less than the ones in the original input files.

PHASE II

An evaluation should be conducted. We’ll have to apply mutation testing to evaluate the test cases in terms of effectiveness and efficiency. Consequently, we can identify the technique that produces the best results which will be part of statistical analysis.

Kindly, if anybody interested please contact me for further details.

Færdigheder: .NET, Java, Matlab and Mathematica, Research, Software Testning

Se mere: test algorithm, study algorithm, statistical algorithm, search test cases, search algorithm in c, phase 2 test, optimum net, net algorithm, feature of algorithm, efficiency of an algorithm, efficiency of algorithm, best search algorithm, a search algorithm, apply algorithm, analysis of algorithm efficiency, algorithm testing, algorithm test, algorithm study, algorithm for search, algorithm efficiency, 2 63 1, cases for less, test case, techniques, swarm

Om arbejdsgiveren:
( 0 bedømmelser ) Malaysia

Projekt-ID: #6010830

14 freelancere byder i gennemsnit $849 for dette job

samitXI

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trustus

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xazoo

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ognjen011

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starcoadmin

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murtaza1981

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prashushinde9

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prominentsoft

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MegaMindsTm

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umarbsse

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jinjie2121

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vishnulalit

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applnet

I am an excellent Matlab expert. I read your detail carefully. I can implement test cases and optimization(GA, SA,TS, PSO and ACO). I will give you the correct result. Best Regards.

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AndySY

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Trajko

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SAYA10feb

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