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Sonarqube

SonarQube vs CAST Application Intelligence Platform comparison. Real users of Application Security share their secrets, tips and comparisons. Software for source code parsing, debugging, impact analysis, real time map building and evolution management for all client/server SQL based applications.

For those that are not familiar with, ( I hope this post will make you at least try it or see it in action at ) you can take a look at an I’ve written some time ago. In one sentence Sonar is an open source platform that allows you to track and improve the quality of your source code. One of the key aspects when talking about software quality is the which is how much of your source code is tested by Unit tests. Sonar integrates with the most popular open source code coverage tools (,, ) and the well-known commercial by Attlassian. By default it uses the JaCoCo (Java Code Coverage) engine and you’ll shortly find out why Before we move on, I’d like to give many kudos to.

This article is inspired by one of his s and its intention is to present a more updated comparison of the supported code coverage tools by Sonar and point out some differences regarding their results and the way they work. Recently Sonar changed its default code coverage tool to JaCoCo and this post tries to explain the reasons behind that decision. Some of the information is borrowed by Evgeny’s post and the image is also taken from. So thanks a lot Evgeny! Now let’s go to the meat. For the comparison you’ll see, I’ve used the latest available Sonar version 3.3, Maven 2.2.1, Java 1.6 and all analysis launched in a Windows 7 machine (Intel Core i3-2120 CPU @ 3.30GHz) with 8GB RAM. The projects were carefully selected ( a small, medium-sized and a large one – not that large as Java code base but large enough to extract some results ).

I ran five analysis for each open source code coverage tool ( I excluded the commercial Clover from my comparison version ) and another five by disabling the code coverage mechanism. So that’s a total of 60 analysis ). In the following tables you can find some information about the code coverage tools and some basic metrics about the selected projects. Pay attention to the date of the latest stable release.

• Struktur penulisan buku semaksimal mungkin diusahakan memfasilitasi pengalaman belajar yang bermakna yang diterjemahkan melalui sub-judul berdasarkan pendekatan saintifik sebagai berikut: - Mengamati: Ayo mengamati, Ayo membaca, - Mencoba: Ayo mencoba, Ayo berlatih, Ayo berkreasi, Ayo bernyanyi, Ayo menari, Ayo bermain peran, - Menalar: Ayo berdiskusi, - Mengomunikasikan: Ayo bercerita, Ayo menulis. Penjelasan lebih rinci tentang aktivitas pembelajaran dituangkan pada Buku Guru. Setiap subtema diuraikan ke dalam enam pembelajaran. Satu pembelajaran dialokasikan untuk satu hari. • Buku ini bersifat serba-mencakup ( self contained) agar dapat digunakan oleh siswa secara mandiri di rumah. Buku kurikulum 2013 sd kelas 2 tema 3d 2.

Emma hasn’t been updated since dinosaurs era and cobertura is almost three years inactive. One might think that this isn’t an issue if they are stable and don’t need any new release. Well, the truth is that both of them have bugs that frustrate end-users and there’s no one to fix them. On the other hand JaCoCo is continuously evolving and improving The results of the analysis are displayed next.

Some important notices. Emma doesn’t support Branch coverage that’s why you’re not seeing any metrics. Furthermore there are differences in the results of Line and Branch coverage, which are more concrete for larger projects. For instance in Sonar Jira plugin all three tools produce the same results whereas in Sonar analysis and Commons Lang projects you can see that the numbers are not the same. Now take a look at a graph that illustrates in a more readable way which tool is the fastest.

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