Performance Testing with Apache Jmeter
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Types of Software Testing
Types of Software Testing We would be glad to have feedback from you. Drop us a line, whether it is a comment, a question, a work proposition or just a hello. You can use either the form below or the contact details on the rightt. Contact details [email protected] +91 811 386 5000 1 Software testing is the way of assessing a software product to distinguish contrasts between given information and expected result. Additionally, to evaluate the characteristic of a product. The testing process evaluates the quality of the software. You know what testing does. No need to explain further. But, are you aware of types of testing. It’s indeed a sea. But before we get to the types, let’s have a look at the standards that needs to be maintained. Standards of Testing The entire test should meet the user prerequisites. Exhaustive testing isn’t conceivable. As we require the ideal quantity of testing in view of the risk evaluation of the application. The entire test to be directed ought to be arranged before executing it. It follows 80/20 rule which expresses that 80% of defects originates from 20% of program parts. Start testing with little parts and extend it to broad components. Software testers know about the different sorts of Software Testing. In this article, we have incorporated majorly all types of software testing which testers, developers, and QA reams more often use in their everyday testing life. Let’s understand them!!! Black box Testing The black box testing is a category of strategy that disregards the interior component of the framework and spotlights on the output created against any input and performance of the system. -
Maîtriser Apache Jmeter Du Test De Charge À Devops
Maîtriser Apache JMeter Du test de charge à Devops Antonio Gomes Rodrigues, Bruno Demion (Milamber) et Philippe Mouawad Ce livre est en vente à http://leanpub.com/maitriser-jmeter-du-test-de-charge-a-devops Version publiée le 2018-09-30 ISBN 978-2-9555036-1-4 Ce livre est publié par Leanpub. Leanpub permet aux auteurs et aux éditeurs de bénéficier du Lean Publishing. Lean Publishing consiste à publier à l’aide d’outils très simples de nombreuses itérations d’un livre électronique en cours de rédaction, d’obtenir des retours et commentaires des lecteurs afin d’améliorer le livre. © 2014 - 2018 Antonio Gomes Rodrigues, Bruno Demion (Milamber) et Philippe Mouawad Tweet ce livre ! S’il vous plaît aidez Antonio Gomes Rodrigues, Bruno Demion (Milamber) et Philippe Mouawad en parlant de ce livre sur Twitter ! Le tweet suggéré pour ce livre est : Je viens d’acheter Maîtriser Apache JMeter : Du test de charge à #Devops par @ra0077, @milamberspace, @philmdot sur https ://leanpub.com/maitriser-jmeter-du-test-de-charge-a-devops Le hashtag suggéré pour ce livre est #jmeter. Découvrez ce que les gens disent à propos du livre en cliquant sur ce lien pour rechercher ce hashtag sur Twitter : #jmeter Couverture et quatrième de couverture conçues par Cécile Platteeuw (C’grafic) Table des matières Droits ............................................ 1 Présentation des auteurs ................................ 2 Antonio Gomes Rodrigues ............................. 2 Bruno Demion (Milamber) ............................. 2 Philippe Mouawad (Philippe M.) ......................... 3 L’écosystème d’Apache JMeter ............................ 5 Introduction ...................................... 5 Plugin polyvalent ................................... 5 JMeter Plugins .................................. 5 JMeter dans le cloud ................................. 18 BlazeMeter .................................... 19 Tricentis Flood .................................. 23 Redline 13 ................................... -
SPIRENT NETWORK SECURITY TESTING Ensure Your Carrier, Enterprise, and Mobile Network Infrastructure Is Secure
SPIRENT NETWORK SECURITY TESTING Ensure Your Carrier, Enterprise, and Mobile Network Infrastructure Is Secure Network protection is the number one IT concern of businesses globally and significant investment is made in security products. Can they really be trusted? Don’t rely on vendor claims to thwart attacks that are becoming more complex by the day. Don’t put your network at risk. Trust in Spirent to validate that your network security system performs as intended. The key to successful security testing is knowing what to test, Trusted Performance when to test and how to test. Any security solution must have the Spirent TestCenter with Spirent Avalanche™ and Spirent Studio™ ability to: security testing solutions are trusted industry-wide. Spirent Ŋ Detect and prevent hundreds of thousands of known attacks, TestCenter has won numerous industry awards and has been blended attacks and vulnerabilities selected as the test solution of choice for countless public tests Ŋ Maintain throughput with processor-intensive features like because of its capabilities. content-filtering enabled Ŋ Maintain acceptable performance while under attack Optimal times to test are prior to making any purchase decision, deployment on the live network, after network upgrades have been implemented to ensure devices are correctly configured, and before new services rollouts. Periodic testing is also advisable, especially at the rate new attacks are surfacing. Spirent TestCenter™ provides purpose-built, end-to-end security SPIRENT TESTCENTER C100 testing ranging from Terabit-scale, at line rate speeds to emulate daily business traffic, to validating security capabilities via fuzzing testing, DDoS replication and much more. Spirent has experts and solutions that will assist in security test planning, either on-site CHeck POINT 61000 Security SysteM or virtually. -
Studying Dependency Updates and a Framework for Multi-Versioning in Docker Containers by Sara Gholami Ghasem Abad
Studying Dependency Updates and a Framework for Multi-Versioning in Docker Containers by Sara Gholami Ghasem Abad A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering and Intelligent Systems Department of Electrical and Computer Engineering University of Alberta © Sara Gholami Ghasem Abad, 2020 Abstract Containerized software systems are becoming more popular and complex as they are one of the essential techniques that enable cloud computing. One of the enabling technologies for containerized software systems is the Docker framework. Docker is an open-source framework for deploying containers, lightweight, standalone, and executable units of software with all their dependencies (packages and libraries) that can run on any computing environment. Docker images facilitate deploying and upgrading systems as all of the dependencies required for a software package are included in an image. However, there exist several risks with running Docker images in production environments. One risky situation can occur when upgrading images, as an upgrade may result in many changing packages or libraries at once. Therefore, in this thesis, we study the Docker images and analyze them to identify the risks of package changes. Also, we propose our solution, DockerMV, to mitigate this risk by running multiple versions of an image at the same time. In this first part of this thesis, we analyze the official Docker image repositories that are available on Docker Hub, Docker’s public registry that holds Docker images. For each image in these repositories, we extract details about its native, Node, and Python packages. Afterward, we investigate which types of applications have more package changes in their image upgrades. -
Kuali Student Service System: Technical Architecture Phase 1 Recommendations
Kuali Student Service System Technical Architecture Phase 1 Recommendations Kuali Student Service System Technical Architecture Phase 1 Recommendations December 31 2007 Kuali Student Technical Team Technical Architecture Phase 1 deliverables 2/14/2008 1 Kuali Student Service System Technical Architecture Phase 1 Recommendations Table of Contents 1 OVERVIEW ........................................................................................................................ 4 1.1 REASON FOR THE INVESTIGATION ................................................................................... 4 1.2 SCOPE OF THE INVESTIGATION ....................................................................................... 4 1.3 METHODOLOGY OF THE INVESTIGATION .......................................................................... 4 1.4 CONCLUSIONS ............................................................................................................... 5 1.5 DECISIONS THAT HAVE BEEN DELAYED ............................................................................ 6 2 STANDARDS ..................................................................................................................... 7 2.1 INTRODUCTION .............................................................................................................. 7 2.2 W3C STANDARDS .......................................................................................................... 7 2.3 OASIS STANDARDS ...................................................................................................... -
Achieving Test Automation Synergy
ACHIEVING TEST AUTOMATION SYNERGY CI/CD PIPELINES + TEST AUTOMATION + TEST DATA GENERATION How Test Data Generation integrates with CI/CD pipelines and test automation tools to unlock the full potential of accelerated software development. TABLE OF CONTENTS Embracing Quality at Speed 3 Thinking Differently About Test Data 10 The Importance of Test Data Quality 16 Integrating TDG with CI/CD 21 Maximizing Test Automation ROI 28 Innovating Test Data Solutions 36 Realizing Operational Benefits 45 ACHIEVING TEST AUTOMATION SYNERGY CI/CD PIPELINES + TEST AUTOMATION + TEST DATA GENERATION 1 EMBRACING QUALITY AT SPEED SPEED OF DEVELOPMENT N DevOps IO AT CI/CD TA Agile CLES M DA TO T AU TES ST RELEASE CY TE CI/CD Automation Test Data Pipelines Frameworks Generation Software engineering teams are accelerating the speed of development through the adoption of Agile and DevOps methodologies combined with the deployment of CI/CD pipelines. This trend has made test automation essential for QA organizations to keep pace with development. Faster release cycles are driving automation in every testing category. Test automation has become the key to ensuring quality at the speed of continuous delivery. This eBook will introduce Test Data Generation (TDG) as the next generation of Test Data Management (TDM) and will illustrate how this new and innovative technology can help your organization achieve the full synergy of test automation in a continuous delivery environment. Release Cycles Keep Getting Faster For most development environments, DevOps has become a standard approach for compressing release cycles from months and weeks to just days and hours. Market data now characterizes DevOps as widely adopted, with over 50% of organizations having implemented it and over half of the remaining organizations planning to implement the approach within 12 months (Forrester). -
Apache Jmeter
Apache JMeter #jmeter Table of Contents About 1 Chapter 1: Getting started with Apache JMeter 2 Remarks 2 Versions 2 Examples 3 Installation or Setup 3 Overview of Apache JMeter components at high level 4 Chapter 2: Apache JMeter Correlations 7 Introduction 7 Examples 7 Correlation Using the Regular Expression Extractor in Apache JMeter 7 Correlation Using the XPath Extractor in JMeter 12 Correlation Using the CSS/JQuery Extractor in JMeter 14 Correlation Using the JSON Extractor 17 Automated Correlation by Using BlazeMeter’s ‘SmartJMX’ 20 Chapter 3: Apache JMeter parameterization 24 Introduction 24 Examples 24 Parameterization using external files 24 Parameterization using databases 31 Parameterization using the ‘Parameterized Controller’ plugin 41 Chapter 4: Apache JMeter: Test scenario recording 47 Introduction 47 Examples 47 Script Recording with the JMeter Template Feature 47 Script Recording with the JMeter Proxy Recorder 49 Recording Performance Scripts for Mobile Devices 52 Recording HTTPS Traffic 53 Script Recording with the BlazeMeter Chrome Extension 56 Script Recording with BadBoy 58 Credits 60 About You can share this PDF with anyone you feel could benefit from it, downloaded the latest version from: apache-jmeter It is an unofficial and free Apache JMeter ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow. It is neither affiliated with Stack Overflow nor official Apache JMeter. The content is released under Creative Commons BY-SA, and the list of contributors to each chapter are provided in the credits section at the end of this book. Images may be copyright of their respective owners unless otherwise specified. -
Beginning Netbeans IDE
Beginning NetBeans IDE for Java Developers Geertjan Wielenga Beginning NetBeans IDE Copyright © 2015 by Geertjan Wielenga This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. ISBN-13 (pbk): 978-1-4842-1258-5 ISBN-13 (electronic): 978-1-4842-1257-8 Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. -
Supercontra: Cross-Language, Cross-Runtime Contracts As a Service
SuperContra: Cross-Language, Cross-Runtime Contracts As a Service Stratos Dimopoulos, Chandra Krintz, Rich Wolski, Anand Gupta Department of Computer Science University of California, Santa Barbara [email protected] Abstract—This paper presents SuperContra - a Design-by- the annotations and delegates their validation to the evaluator. Contract (DbC) framework that can ship with future PaaS The contract evaluator, evaluates the contracts and returns offerings to enforce lightweight contracts across different pro- the result to the interceptor. Finally, the communicator allows gramming systems, as-a-service. SuperContra is unique in that for the seamless communication between the interceptor and developers employ a familiar, high-level language to write con- the evaluator across programming languages, by transforming, tracts regardless of the programming language used to implement serializing and transferring the contracts and the corresponding the component under test. We evaluate SuperContra using widely used, open-source software and compare its performance against outcomes. The current implementation of SuperContra ex- existing DbC frameworks. Our results show that SuperContra emplifies its cross-language and cross-runtime capabilities by performs on par with non-service-based DbC approaches and in evaluating contracts between Java clients and a Python contract some cases similarly to code running without contracts. evaluator. We evaluate the performance of SuperContra using Apache I. INTRODUCTION JMeter [2], a popular open-source load testing application, The wide number of libraries and application programming with which we generate traffic on an instrumented with interfaces (APIs) offered by current Platform-as-a-Service contracts version of Synapse [3], a widely-used open-source providers, has enabled the rapid deployment of software devel- Enterprise Service Bus (ESB). -
DI Siegfried GOESCHL Rittergasse 6/23 A-1040 Wien First Level Skills
DI Siegfried GOESCHL Rittergasse 6/23 A-1040 Wien [email protected] http://people.apache.org/~sgoeschl First Level Skills Java Backend Development, REST & SOAP APIs, Full-text Search, Performance Testing, Build & Configuration Management Second Level Skills RDBMS, XML/XSLT, Scripting, DevOps, Web Development Contracting Experience 05/2015 – 04/2017 Erste Bank, Am Belvedere 1, A-1100 Vienna Senior Software Engineer – rolling out Erste Groups's Online Banking (aka George) in Czech & Slovak Republic based on JDK 8, Elastic & Oracle. Adding multi-tenant support to the existing code base, providing developer support, bridging the gap between operations & development team, implementing functional & performance tests using Gatling and help other people to get their work done. 12/2014 – 05/2015 TechTalk, Leonhard-Bernstein-Straße 10, A-1220 Vienna Senior Software Engineer – working on Berlin's new Civic Issue Tracking system based on JBoss, Vaadin & Oracle 11g. Focused on filling gaps and removing obstacles to keep the core development team productive. Setting up a performance test infrastructure using Selenium, JAMon & JavaMelody to pass the client-witnessed performance acceptance test. 09/2011 – 11/2014 willhaben.at, Landstraßer Hauptstraße 97-101, A-1030 Vienna Senior Software Engineer – ongoing development and maintenance of willhaben.at's iAd platform (Java, Tomcat, JSP, Sybase, Solr), including performance tuning, technical trouble- shooting, operations support and mentoring of new colleagues. Technical Lead - migrating Microsoft FAST server installation to an Apache Solr cluster handling 350 search requests per seconds querying 2.5 million indexed documents - 24x7 operation without downtime in two years. Technical Lead - implementing Willhaben's REST API based on the Jersey REST framework used by iOS & Android apps and the mobile web site, rolling out in production, scaling to 1.2 million downloaded apps and 850 million page impressions / month. -
Introducing the IBM Linuxone™ Family
LinuxONE™ Introducing the IBM LinuxONE™ Family Two siblings, one architecture, Linux only, named after species penguins Rockhopper II Single cabinet 100’s VMs or containers 40 LPARs Emperor II Dual cabinet 1000’s VMs or containers 85 LPARs LinuxONE Rockhopper™ II LinuxONE Emperor™ II “Bare Metal” z/VM 1 © 2017 IBM Corporation© 2018 IBM Corporation LinuxONE™ An IBM LinuxONE for everyone “Right-size” to fit your needs Rockhopper II Emperor II Performance in a Smaller Footprint Extreme Scale • Equivalent to ~200 x86 cores • Equivalent to ~1300 x86 cores • Up to 8 TB memory • Up to 32 TB memory • I/O support for up to 2 million • I/O requirements up to 9 million IOPS IOPS, • Raw I/O bandwidth of 128 GB/S • Raw I/O bandwidth of • 19” industry standard form factor 832 GB/S • PDU-based1 with 200v-240v • Bulk power based on 480v power • Massive Capacity Back Up (CBU) • Optional 16U of available frame on demand space for additional components, • Can fill need for on-site disaster e.g., storage, server, network recovery switch • Air-cooled or water-cooled • Air-cooled only 2 © 2017 IBM Corporation© 2018 IBM Corporation Our 18-year journey with Linux on the Platform 2018: 2017: § I BM z14 ZR1 § I BM z14 M01-M05 § Preview: § z/ VM Subcapacity z/VM 7.1 2016: § I BM Wave 1.2 SP6 § KVM 1.1.2 § z/ VM 6.4 2015: § KVM for I BM z § I BM Wave upd. • I BM Cloud Private § I BM zAware for Linux • Db2 Warehouse § I BM LinuxONE™ • Blockchain • DBaaS ref.archit. -
Software Testing – Levels, Methods and Types
International Journal of Electrical, Electronics and Computer Systems (IJEECS) ________________________________________________________________________________________________ Software Testing – Levels, Methods and Types Priyadarshini. A. Dass Telecommunication Engineering, Dr Ambedkar Institute of Technology, Bangalore, India 3. System Testing Abstract-- An evaluation process to determine the presence of errors in computer Software is the Software testing. The 4. Acceptance Testing Software testing cannot completely test software because exhaustive testing is rarely possible due to time and resource constraints. Testing is fundamentally a comparison activity in which the results are monitored for specific inputs. The software is subjected to different probing inputs and its behavior is evaluated against expected outcomes. Testing is the dynamic analysis of the product meaning that the testing activity probes software for faults and failures while it is actually executed. Thus, the selection of right strategy at the right time will make the software testing efficient and effective. In this paper I have described software testing techniques which are Figure 1: Levels of Testing classified by purpose. 2.1 Unit Testing Keywords-- ISTQB, unit testing, integration, system, Unit Testing is a level of the software testing process acceptance, black-box, white-box, regression, load, stress, where individual units/components of a software/system endurance testing. are tested. The purpose is to validate that each unit of I. INTRODUCTION the software performs as designed. A unit is the smallest testable part of software. It usually has one or a few Software testing is a set of activities conducted with the inputs and usually a single output. Unit Testing is the intent of finding errors in software.