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classification of defects in SDLC using machine learning

₹1500-12500 INR

Imefungwa
Imechapishwa about 7 years ago

₹1500-12500 INR

Kulipwa wakati wa kufikishwa
in this project first classified the bugs then write the code or algorithm how to identify the bugs by using automated not doing it manually
Kitambulisho cha mradi: 13539785

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7 mapendekezo
Mradi wa mbali
Inatumika 7 yrs ago

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7 wafanyakazi huru wana zabuni kwa wastani ₹15,516 INR kwa kazi hii
Picha ya Mtumiaji
I am an IITK graduate and I have 9 years of experience in software development. I have 100% completion rate and I have finished all the projects with the highest level of customer satisfaction. I usually finish projects with ease on which other freelancers have already given up. I learn and understand new stuff very fast and finish the job with top quality and reliability.
₹11,111 INR ndani ya siku 3
4.0 (24 hakiki)
5.7
5.7
Picha ya Mtumiaji
Hello, I am mihir patel having more then 8 years of experience using implementing java/j2ee projects with front end and swing applications, have been using html, css,javascript, jquery,j2ee containters , ejb, jdbc, oracle, mysql databases. If interested let's talk about your project specs. Thanks Mihir
₹7,777 INR ndani ya siku 3
0.0 (0 hakiki)
0.0
0.0
Picha ya Mtumiaji
Hello We will build a classification algorithm that will take the defects generated by the code and categorise them. We plan to look at attributes such as location of defect (ie the code where it appears), the kind of defect, its severity (either entered manually or based on exception generated) to be able to classify individual defects accurately. Look forward to any questions and queries, as this would us better our understanding and propose a much more effective solution.
₹12,222 INR ndani ya siku 8
0.0 (0 hakiki)
0.0
0.0

Kuhusu mteja

Bedera ya INDIA
India
0.0
0
Mwanachama tangu Mac 28, 2017

Uthibitishaji wa Mteja

Asante! Tumekutumia kiungo cha kudai mkopo wako bila malipo kwa barua pepe.
Hitilafu fulani imetokea wakati wa kutuma barua pepe yako. Tafadhali jaribu tena.
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