system testing presentation

QA Testing Presentation Template

Getting a new product or feature out the door goes far beyond the initial build. After the engineering or product team(s) have completed the development, the QA (quality assurance) team taps in to test the quality of the product before it goes live. A QA testing presentation allows teams to align on new product use cases, troubleshoot bugs or glitches, and fix any issues before launch. Teams can do this more efficiently with Beautiful.ai’s QA testing presentation example.   

The customizable template has everything you need to plan and test for new releases. A successful QA testing presentation can help product managers and engineering teams communicate internally and perfect the new feature or product prior to sharing it with customers.  

Our QA testing template can also help you:

• Communicate timelines and deliverables with key stakeholders
• Host internal bug bashes to get more eyeballs on the product or feature
• Troubleshoot issues and track workflows to fix any bugs

Use our template to create an effective QA testing presentation

A QA testing presentation allows teams to sync up on new releases to find and fix any glitches before the official launch. That’s why our template includes everything you need to create powerful QA testing slides. From your team’s process roadmap to testing metrics, tailoring this template to your own QA testing presentation is easy:

Pro tips for creating your own QA Presentation

As you use this template to build your own QA testing presentation, keep these do’s and don’ts in mind:

What did you find in your testing? Include any research findings relevant to the feature and showcase them with visually appealing infographics or screenshots.

The QA testing process is based on a new product or feature, so make sure your presentation reflects that. Customize this template by uploading your own visuals for the project that showcase what the group has been working on, and how teammates can test it.

Use a Kanban or calendar slide to make the deadlines and tasks obvious to your team. The modern layout will make it easy for team members to identify what they’re responsible for and when prior to the feature release.

Apply feedback to create a final or further iteration to the QA testing process, and add to your presentation if needed. This will help your team determine next steps and keep the momentum going.

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System Testing

Sep 08, 2014

570 likes | 1.2k Views

System Testing. What is System Testing?. System testing is testing the system as a whole and consists of a set of test types with different focus: Functional testing functional requirements, use cases, “doing the job” Performance testing coping with work load, latency, transaction counts

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• requirements coverage
• system testing
• defining test cases
• 1000 hours system testing

Presentation Transcript

System Testing (c) Henrik Bærbak Christensen

What is System Testing? • System testing is testing the system as a whole and consists of a set of test types with different focus: • Functional testing • functional requirements, use cases, “doing the job” • Performance testing • coping with work load, latency, transaction counts • Stress testing • coping with above limit workload, graceful degradation • Configuration testing • deployment and (re)configurations • Security testing • threat resistence • Recovery testing • loss of resources, recovery (c) Henrik Bærbak Christensen

Aim • System testing’s aim is to demonstrate that the system performs according to its requirements. • thus it embody the contradictory aims of • proving that there are defects • make us confident that there are none... • but the focus is more on the latter than in lower levels of testing • Next testing level: • Acceptance test: include costumer • Factory AT (FAT) and Site AT (SAT) • Alpha/Beta test: include mass-market user groups • Alpha: at shop; Beta: at customer, Release Candiate:  (c) Henrik Bærbak Christensen

War stories • Major Danish supplier of hardware/software for military air crafts • 1000 hours system testing • Small Danish company serving Danish airports • The ‘factory accept test’ area was called the “wailing wall” (grædemuren ) (c) Henrik Bærbak Christensen

Functional Testing (c) Henrik Bærbak Christensen

Functional Test • Driven by the requirements / specifications • functional tests can thus be planned and test cases defined very early in a project • Often large overlap with top-level integration test cases • however, the changed focus often requires new test cases. (c) Henrik Bærbak Christensen

Coverage • The natural adequacy criteria / coverage metric of functional tests is of course defined by the requirements • requirements coverage • all functional requirements must be achievable by system • use case coverage • all use cases are covered • Technical adequacy may also be interesting • state coverage • all system state and state transitions are covered • function coverage • all “system functions” are covered (c) Henrik Bærbak Christensen

The story is the same • The basic story at the system level resemble all other levels: • Use systematic techniques to define test cases such that • coverage is high • perceived chance of finding defect is high • minimal number of test cases defined • Remember: • Reliability: Probability that a software system will not cause the failure of the system for a specified time under specified conditions. (c) Henrik Bærbak Christensen

Defining test cases • Functional tests are black-box in nature. • Thus BB techniques are applicable • ECs of user input / required output • Valid and invalid input handling • Boundary value analysis (c) Henrik Bærbak Christensen

Strategies for selection at system level • John D. McGregor and David A. Sykes, Practical Guide to Testing Object-Oriented Software, Addison Wesley, 2001. • McGregor and Sykes describe two approaches at system level: • Defect Hunting versus System Use • illustrates the contradictory aims of testing  (c) Henrik Bærbak Christensen

Defect Hunting • Defect huntingis based upon the observation that often developers pays less attention to error handling than to normal processing. • Thus the idea is to go hunting defects by trying to trigger failures: provide invalid input/conditions. • the classic is the monkey test: hammer away on the keyboard and see what happens • This has some overlap with performance, stress, and other types of testing mentioned later. (c) Henrik Bærbak Christensen

System Use • Remember the definition of reliability: • Reliability: Probability that a software system will not cause the failure of the system for a specified time under specified conditions. • Thus: Reliability is determined by the way we use the system. (c) Henrik Bærbak Christensen

War Story: Recovery/Exceptions • Warstory • Ragnarok encountered ‘disk full’ during save operation – resulting in lost data in a version control repository (and that is b-a-d!) for a compiler… • ‘disk full’ had never been though of… • [but] • given the scope of the system (research prototype) the effort to get the system running again was lower than the effort to do a systematic testing… • (but this estimate was never made, I was just plain lucky!) (c) Henrik Bærbak Christensen

Operational Profile/Usage Model • If we can make a model of how we use the system we can then focus our testing efforts (read: cost) such that we test those functions that are used the most (read: benefit). • Thus: get as much reliability as cheap as possible (c) Henrik Bærbak Christensen

Operational Profiles • Operational profile • quantitative characterization of how a software system will be used in its intended environment • a specification of classes of inputs and the probability of their occurrence • [Burnstein 12.3] • Burnstein defines a 5 step process to get it: • Customer profile, user profile, system mode profile, functional profile, operational profile... (c) Henrik Bærbak Christensen

Another approach • Binder defines three system testing patterns • Extended Use Case Test • focus on complete requirements coverage • Covered in CRUD • CRUD coverage for all problem domain abstractions • akin to Burnstein’s “function coverage” • Allocate Test by Profile • maximize requirements coverage under budget constraints (c) Henrik Bærbak Christensen

Extended Use Case Test (c) Henrik Bærbak Christensen

EUCT • Intent • Develop an application system test suite by modeling essential capabilities as extended use cases • Based on extended use cases: • Use case augmented with information on • domain of each variable that participates in use case • required input/output relationships among use case variables • (relative frequency of use case) • sequential dependencies among use cases • that is, we need the exact input/output relation... (c) Henrik Bærbak Christensen

Process • Binder describes the process of defining test cases based upon the extended use cases: • identify operational variables • define variable domains • develop operational relations • develop test cases • The is actually another way of saying EC and Boundary Analysis testing – nothing new  • identify input dimensions • identify boundaries • develop equivalence classes • develop test cases (c) Henrik Bærbak Christensen

Entry/Exit • Entry criteria • that we have extended use cases  • that system has passed integration testing • Exit criteria • use case coverage / requirements coverage (c) Henrik Bærbak Christensen

Real Example  (c) Henrik Bærbak Christensen

Covered in CRUD (c) Henrik Bærbak Christensen

CRUD • Intent • Covered in CRUD verifies that all basic operations are exercised for each problem domain object in the system under test. • Context • Antidecomposition axiom once again: system level testing does not achieve full coverage of its units. • CRUD focus on exercising the domain objects by the central Create, Read, Update, Delete operations. (c) Henrik Bærbak Christensen

Strategy • 1) Make a matrix of use cases versus domain object CRUD • 2) Develop test cases for missing ops on any domain object. (c) Henrik Bærbak Christensen

Coverage • Exit criteria • CRUD adequacy (c) Henrik Bærbak Christensen

Allocate Tests by Profile (c) Henrik Bærbak Christensen

Profile testing • Intent • Allocate the overall testing budget to each use case in proportion to its relative frequency, • Context • Rank use cases according to relative frequency • Allocate testing resources accordingly • Develop test cases for each use case until resources allocated are exhausted. • Maximize reliability given the testing budget. • Example from previously • Word’s (save) versus (configure button panel) (c) Henrik Bærbak Christensen

Strategy • Estimate use case frequency • difficult, but reportedly the relative ordering is more important than exact frequency • 90% search, 10% update • 80% search, 20% update • still the testing is heavily skewed towards search testing... • Testing effort proportional to • use case probability (c) Henrik Bærbak Christensen

Example • Design, setup, and run a test: 1h • Test finds a defect: 5% chance • Correcting a defect: 4 hours • Testing budget: 1000h • Total tests: T • Mean time to make a test: 1h + (0.05*4h) = 1.2h • Number of test cases: 1000h / 1.2h = 833 • Allocate 833 test cases according to profile • 50% use case would get 833 * 50% test cases ... (c) Henrik Bærbak Christensen

Notes • Take care of • critical use cases (central for operation, like “save”) • high-freq use case with trivial implementation • many low-freq use cases • merge them • (or maybe they are plainly wrong modelled) • Exit criteria • use case coverage (c) Henrik Bærbak Christensen

Non-functional testing types (c) Henrik Bærbak Christensen

Performance Testing • Does it perform ok? • coping with work load, latency, transaction counts per second, ect... • Test case generation based upon std techs. • Load generators: • load = inputs that simulates a group of transactions • applications that will generate load • multiple users accessing database/webservice • Capture/Replay tactics for realistic load • “Devilish” loads (c) Henrik Bærbak Christensen

Performance Testing • Probes • software units that collect performance data in the production code • “Built-in monitors” tactic • Perhaps tools to analyse probe output to judge if expected output can be confirmed... (c) Henrik Bærbak Christensen

Stress Testing • Stress testing • allocate resources in maximum amounts • flood with requests, flood with processes, fill RAM, fill disk, fill data structures • [fill the event queue with mouse events ; or hammer away on the keyboard (monkey-test)] • accumulated data over period of years • Easy to find example of defects • JHotDraw with 2000 figures… • Java with a couple of 100 threads… (c) Henrik Bærbak Christensen

Configuration/Deployment • Configuration testing / deployment testing • verify product variants on execution environment • I.e. how does the installation program work? Is it complete? Are any files missing? Are all combinations of options working? • What about dependencies to things that will change? • Burnstein • test all combinations/configuration • test all device combinations • poor Microsoft !!! • test performance level is maintained (c) Henrik Bærbak Christensen

Deployment testing • The microsoft platform has given a name to the problems: • ‘DLL hell’ • The Pentium bug • Early release of pentium x86 made wrong floating point calculations (!) • defect was traced to a wrong script for transferring the design models to the machines to generate the hardware masks  • To verify that install is correct • system regression tests for ‘normal’ operation • pruned for tests using options not installed. (c) Henrik Bærbak Christensen

Security testing • War Story • SAVOS weather system at Copenhagen Airport • no escape to windows from SAVOS was a requirement • one day we saw a guy playing chess with SAVOS iconized! • we did not know that dbl-click the title bar minimizes the window  • Standard security aspects apply but also: • ability of application to access resources • for instance • System DLL’s that user has not permission to access… • Wrong Java Policy file (c) Henrik Bærbak Christensen

Recovery Testing • Recovery testing • loss of resources to verify that it can properly recover • loosing network connection, loosing server in mid transaction, loosing data input from the field • many availability techniques • cold standby, warm standby, hot standby, exception handling, etc. • Areas of interest • Restart: Pending transactions and system state properly re-established • Switch-over: from master to slave system (c) Henrik Bærbak Christensen

Regression Testing • Not a special testing technique but retesting software after a change. • Very expensive for manual tests  • researchers try to find the minimal test set to run given some change in a module A • Automated tests fare better • if they are not too heavy to execute... (c) Henrik Bærbak Christensen

Acceptance tests • System tests performed together with the customer (factory accept test) • does system meet users’ expectations? • rehearsal by testers and developers is important  • all defects must be documented  • Installations test (site accept test) • perform same tests at customer site (c) Henrik Bærbak Christensen

Alpha/Beta tests • The accept and installation tests for the mass-market • α-test: Users at developers’ site • β-test: Users at their own site (c) Henrik Bærbak Christensen

Summary • System testing is concerned with • end user behavior verification,and • performance, stress, configurations, etc. • The BB techniques and WB coverage criteria apply at all levels • consider equivalence classes and boundaries • consider the coverage required (c) Henrik Bærbak Christensen

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