Software Testing (Automation) Training by Experts

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Our Training Process

Software Testing (Automation) - Syllabus, Fees & Duration

MODULE 1

  • Software development life cycle
  • SDLC development models
  • Water fall model
  • Evolutionary development model
  • Agile model
  • Test driven development
  • Scrum model

MODULE 2

  • Types of automation
  • Unit test, integration, system testing
  • GUL testing, API testing, load testing
  • Smoke /sanity testing importance
  • Regression/ Functional testing

MODULE 3

  • Uses cases for testers
  • Writing good use cases
  • Elevator, mobile, phone, pen, coffee vending machine
  • List of technologies
  • Black box test technology
  • Boundary value analysis
  • Equivalence class partition
  • Error guessing
  • White box test technology
  • Statement coverage
  • Condition coverage
  • Path coverage
  • Branch coverage
  • Types of test cases
  • Positive and negative cases
  • UI test cases
  • Usability test cases
  • Field validation
  • Functional test cases

MODULE 4

  • Test plan document
  • Title
  • Revision history
  • Objective of document
  • Scope of document
  • Objective of testing
  • Metric collection
  • Project description
  • Critical functionality
  • Test data requirement
  • Features not to be used
  • Test environment
  • Training requirements
  • Effort estimation
  • Resource requirement
  • Scheduling
  • Test strategy
  • Input/ entry criteria
  • Exit criteria
  • Test suspension and resumption criteria
  • Test completion criteria
  • Acceptance criteria
  • Bug classification
  • Test deliverables
  • Standards to be followed
  • Risk analysis

MODULE 5

  • Bugs
  • Bug classifications
  • Bug template
  • Bug tracking
  • Bug tracking tools
  • Bug life cycle
  • Statues for bug life cycle

MODULE 6

  • JAVA
  • OO concepts
  • Encapsulation
  • Inheritance
  • Abstract classes, interface, final
  • Polymorphism
  • Overriding, overloading, this, super, constructor
  • General
  • Collection
  • Lists, sets, revise basic algorithms if time permits
  • Exception handling
  • JDBC

MODULE 7

  • Log4J
  • ANT
  • SVN
  • HUDSON
  • JIRA, Bugzilla
  • JUNIT, Test NG
  • Other languages
  • SQL
  • PERL
  • UNIX

MODULE 8

  • Mercury quick test pro
  • Introduction
  • Recording
  • Object repository
  • Standard checkpoints
  • Database checkpoints need to look
  • Parameterization
  • Data drove testing
  • Output values
  • Actions
  • Descriptive programming

MODULE 9

  • Load testing (load runner)
  • Fundamentals of load runner
  • Planning an effective load test
  • Load runner installation
  • Virtual user generator scripting
  • Recording and playback
  • Action and transactions
  • Parameters, checkpoints correlation
  • Advanced correlation
  • Enhance V user output log
  • Error handling
  • Introduction to scenarios
  • Using run-time setting
  • Scenarios execution
  • Scheduling scenarios
  • Performance monitors
  • Result analysis
  • Building effective load test scripts
  • Load runner hand on exercises

MODULE 10

  • Test management tools
  • Adding test requirements
  • Create tests
  • Executing test case manually
  • Analyze project progress
  • Run tests and analyze the results
  • Report and trace defects
  • Document generator
  • Executing test scripts remotely and more
  • The test case with requirements
  • Descriptive programming

MODULE 11

  • Manual testing real project
  • Take a real project and do the following in different phases of the QA lifecycle
  • QA basic
  • Requirement
  • Test plan
  • Sizing
  • Test case
  • Bug lifecycle
  • Log- with log4j
  • Build
  • Boundary value analysis and equivalence partitioning
  • End and end testing
  • Status reporting
  • UAT
  • Production check out

MODULE 12

  • OR
  • SOR
  • Basic of web syntax
  • Descriptive programing
  • Functions
  • Functional library
  • Excel integration
  • Option explicit
  • Loop
  • Original identifier
  • Get TO property
  • Get RO property
  • Showing manual test script
  • Error handling using script
  • Recovery scenario
  • Download Syllabus - Software Testing (Automation)
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Software Testing (Automation) Jobs in Toowoomba

Enjoy the demand

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  • Network Test Engineer
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  • Senior Network Engineer

Software Testing (Automation) Internship/Course Details

Software Testing (Automation) internship jobs in Toowoomba
Software Testing (Automation) The goal of automating software tests is to make time-consuming, repetitive, or complex work more effective and productive. One of the most popular test automation fallacies is that everything can be automated. Manual testing is inferior to automated tests. For each type of software, create and implement test automation methodologies. It is feasible to save energy, time, and money while allowing individuals to focus on other duties in this way. You'll learn about black-box and white-box testing, automated testing, web & mobile testing, and formal testing theory and practises throughout four courses, preparing you to plan and execute effective software testing. You will be automatically enrolled in the entire speciality programme if you enrol in a course that is part of a specialisation programme. Based on the foregoing, another crucial consideration is that, regardless of whether or not to automate, the context must be recognised. Learn how to use web automation tools for Continuous Integration and put them into practice. Understand the complications and benefits of automation in diverse software projects and know how to spot them.

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List of Training Institutes / Companies in Toowoomba

  • UniversityOfSouthernQueensland(UniSQ) | Location details: UniSQ Toowoomba, 487-535 West St, Darling Heights QLD 4350, Australia | Classification: University, University | Visit Online: unisq.edu.au | Contact Number (Helpline): +61 1800 269 500
 courses in Toowoomba
This paper primarily focuses on measuring social norms and cultural beliefs relating to economic and tourism development and discusses findings in the context of Toowoomba. Institutions and perceptions are an important element of transformation (Mwangi, 2006), so it is appropriate that the dynamics of tourism transformation have been frequently investigated using resident perceptions of the industry (Allen, Long, Perdue and Kieselback, 1988; Andereck, Valentine, Knopf and Vogt, 2005; Andriotis, 2005; Ap, 1992; Belisle and Hoy, 1980; Besculides, Lee and McCormick, 2002; Harrill, 200 ; Horn and Simmons, 2002; Johnson, et al. Literature The theoretical framework underpinning the measurement system devised for this study derives from a well developed and established body of tourism literature relating to community (host) perceptions and attitudes of tourism activity and development (see Pizam, 1978; Belisle and Hoy, 1980; Cohen, 198 ; Long and Allen, 1986; Liu, Sheldon and Var, 1 ; Milman and Pizam, 1988; Ap, 1992; Ross, 1992; Madrigal, 1995; Lindberg and Johnson, 1997; Ap and Crompton, 1998; Brunt and Courtney, 1999; Fredline and Faulkner, 2000; Weaver and Lawton, 2002; Davis and Morais, 200 ; Easterling, 200 ; Harrill, 200 ; Ritchie and Inkari, 2006; Zhong, Deng and Xiang, 2007; Moyle, Croy, Weiler, In Press). Review of the literature indicates that there is a lack of knowledge surrounding the dynamic interaction of structures and institutions and the reciprocal relationship they have with tourism, particularly at a local level (Agarwal, 2002; Scott, 2003; Rodriguez, Parra-Lopez and Yanes-Estevez, 2008). Institutions are collective human- designed action, such as government strategies, plans, policies or laws, business or industry norms, social norms, cultural beliefs or the general patterns of consumer behaviour (Mantzavinos, North and Shariq, 200 ). Transformation theory is about structural change that results from modifications of human institutions (Seliger, 2002). , 199 ; Perdue, Long and Allen, 1990). It has been argued that more rapid and intense tourism development may have a less beneficial effect on societies than smaller scale development (de Kadt, 1979; Pierce, 1989; Ratz, 2000). Arguably, tourism can deliver socio-cultural transformations (Ratz, 2000; Sebastian and Rajagopalan, 2009). Other research shows.

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