Articles Tagged ‘metrics’

Implementing, Testing and Running Procedures for Neo4j

Tuesday, February 27th, 2018

A lot of features are already included in the Neo4j graph database system but sometimes we want to extends its capabilities and implement functions and procedures by ourselves that we may reuse.

In the following tutorial I will demonstrate how to implement a procedure for Neo4j, how to write and run tests using JUnit and an embedded graph database and last but not least how to setup Neo4j with Docker and our stored procedure installed in no time.

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Software Architecture Exploration and Validation with jqAssistant, Neo4j and Cypher

Sunday, December 31st, 2017

I have written about other software system analyzing and validation tools before but today I would like to introduce a new tool named jqAssistant that supports software architects, developers and analysts in a variety of tasks like analyzing given structures, validating architectural or quality constraints and generating reports.

Therefore jqAssistant analyzes given projects or artifacts and stores the gathered information – that is enriched by a variety of existing plugin-ins – in a Neo4j graph database.

This graph database may now be used to enforce architectural constraints or specific code metrics, to generate reports or to analyze a system with a nice browser interface.

In this tutorial I’m going to show how to integrate jqAssistant in an existing project using Maven as build-tool, how to explore an existing system step-by-step and finally how to enforce specific metrics by writing them down as a kind of living documentation in an AsciiDoc document.

I have also started to write down basic Cypher (the query language used) queries to analyze a system and other queries to gather basic metrics.

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Mutation Testing with Pitest and Maven

Sunday, May 10th, 2015

Mutation testing makes an interesting addition to the classical test coverage metrics.

They seed mutations (errors) into the code, run the project’s tests afterwards and if the tests fail, the mutation is killed – otherwise it lived and we have a possible indication of an issue with our tests.

In the following short tutorial. I’d like to demonstrate how to setup mutation tests with the PIT/Pitest library and Maven and generate reports.

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Java EE 7 JMX Reports with Yammer Metrics

Tuesday, August 26th, 2014

There are several ways to aggregate and report application performance indicators in a Java application. One common way here is to use Java Management Extensions (JMX) and MBeans.

The Yammer Metrics Library eases this task for us and simplifies the aggregation of different reports.

In the following tutorial, we’re going to set up a full Java EE 7 web application by the help of Maven archetypes and we’re running the application on WildFly application server that is downloaded and configured completely by the WildFly Maven Plugin.

Finally our application is going to use the Java API for JSON Processing to parse lists of public repositories from the Bitbucket REST API to aggregate different reports, exported via JMX so that we’re finally able to view these reports with jconsole or jmeter.

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