Testing throughout the software life cycle is important to ensure quality. There are four main test levels: component testing, integration testing, system testing, and acceptance testing. Each level has specific objectives. Component testing checks individual software units. Integration testing checks interfaces between components. System testing evaluates the entire system. Acceptance testing validates user needs are met. Testing is iterative and occurs at each stage of development models like the V-model. Different testing types target functionality, performance, security and other characteristics. Testing also occurs during maintenance to check changes and ensure other features still work as intended. Thorough testing at all stages is key to catching defects early and delivering high quality software.
This is chapter 4 of ISTQB Specialist Mobile Application Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
Tool Support for Testing as Chapter 6 of ISTQB Foundation 2018. Topics covered are Tool Benefits, Test Tool Classification, Benefits of Test Automation, Risk of Test Automation, Selecting a tool for Organization, Pilot Project, Success factor for using a tool
Non-functional testing is the testing of a software application or system for its non-functional requirements: the way a system operates, rather than specific behaviours of that system.
System Testing. SYSTEM TESTING is a level of software testing where a complete and integrated software is tested. The purpose of this test is to evaluate the system's compliance with the specified requirements. system testing: The process of testing an integrated system to verify that it meets specified requirements.
Chapter 3 - Performance Testing in the Software LifecycleNeeraj Kumar Singh
This is chapter 3 of ISTQB Specialist Performance Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
This is chapter 2 of ISTQB Specialist Mobile Application Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
This is the chapter 2 of ISTQB Advance Test Automation Engineer certification. This presentation helps aspirants understand and prepare content of certification.
Chapter 4 - Quality Characteristics for Technical TestingNeeraj Kumar Singh
This is chapter 4 of ISTQB Advance Technical Test Analyst certification. This presentation helps aspirants understand and prepare the content of the certification.
This is chapter 4 of ISTQB Specialist Mobile Application Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
Tool Support for Testing as Chapter 6 of ISTQB Foundation 2018. Topics covered are Tool Benefits, Test Tool Classification, Benefits of Test Automation, Risk of Test Automation, Selecting a tool for Organization, Pilot Project, Success factor for using a tool
Non-functional testing is the testing of a software application or system for its non-functional requirements: the way a system operates, rather than specific behaviours of that system.
System Testing. SYSTEM TESTING is a level of software testing where a complete and integrated software is tested. The purpose of this test is to evaluate the system's compliance with the specified requirements. system testing: The process of testing an integrated system to verify that it meets specified requirements.
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This is chapter 3 of ISTQB Specialist Performance Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
This is chapter 2 of ISTQB Specialist Mobile Application Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
This is the chapter 2 of ISTQB Advance Test Automation Engineer certification. This presentation helps aspirants understand and prepare content of certification.
Chapter 4 - Quality Characteristics for Technical TestingNeeraj Kumar Singh
This is chapter 4 of ISTQB Advance Technical Test Analyst certification. This presentation helps aspirants understand and prepare the content of the certification.
Testing throughout the software life cycle & statistic techniquesNovika Damai Yanti
CATEGORIES OF TEST DESIGN TECHNIQUES
Recall reasons that both specification-based (black-box) and structure-based (white-box) approaches to test case design are useful, and list the common techniques for each. (K1)
This chapter discusses the most commonly applied software development models, test levels and test types. Maintenance can be seen as a specific instance of a development process.
CHAPTER 15Security Quality Assurance TestingIn this chapter yoJinElias52
CHAPTER 15
Security Quality Assurance Testing
In this chapter you will
• Explore the aspects of testing software for security
• Learn about standards for software quality assurance
• Discover the basic approaches to functional testing
• Examine types of security testing
• Explore the use of the bug bar and defect tracking in an effort to improve the SDL process
Testing is a critical part of any development process and testing in a secure development lifecycle (SDL) environment is an essential part of the security process. Designing in security is one step, coding is another, and testing provides the assurance that what was desired and planned becomes reality. Validation and verification have been essential parts of quality efforts for decades, and software is no exception. This chapter looks at how and what to test to obtain an understanding of the security posture of software.
Standards for Software Quality Assurance
Quality is defined as fitness for use according to certain requirements. This can be different from security, yet there is tremendous overlap in the practical implementation and methodologies employed. In this regard, lessons can be learned from international quality assurance standards, for although they may be more expansive in goals than just security, they can make sense there as well.
ISO 9216
The International Standard ISO/IEC 9216 provides guidance for establishing quality in software products. With respect to testing, this standard focuses on a quality model built around functionality, reliability, and usability. Additional issues of efficiency, maintainability, and portability are included in the quality model of the standard. With respect to security and testing, it is important to remember the differences between quality and security. Quality is defined as fitness for use, or conformance to requirements. Security is less cleanly defined, but can be defined by requirements. One issue addressed by the standard is the human side of quality, where requirements can shift over time, or be less clear than needed for proper addressing by the development team. These are common issues in all projects, and the standard works to ensure a common understanding of the goals and objectives of the projects as described by requirements. This information is equally applicable to security concerns and requirements.
SSE-CMM
The Systems Security Engineering Capability Maturity Model (SSE-CMM) is also known as ISO/IEC 21827, and is an international standard for the secure engineering of systems. The SSE-CMM addresses security engineering activities that span the entire trusted product or secure system lifecycle, including concept definition, requirements analysis, design, development, integration, installation, operations, maintenance, and decommissioning. The SSE-CMM is designed to be employed as a tool to evaluate security engineering practices and assist in the definition of improvements to them. The SSE-CMM is organized into p ...
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Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
3. SOFTWARE DEVELOPMENT MODELS
V-model The V-model was developed to address
some of the problems experienced using
the traditional waterfall approach
4. The four test levels used, each with their own objectives, are:
Searches for defects in and verifies the functioning of
software components (e.g. modules, programs, objects,
classes etc.) that are separately testable.
Tests interfaces between components, interactions to
different parts of a system such as an operating system, file
system and hard ware or interfaces between systems
concerned with the behavior of the whole system/product as
defined by the scope of a development project or product.
The main focus of system testing is verification against
specified requirements.
validation testing with respect to user needs, require ments,
and business processes conducted to determine whether or
not to accept the system.
Component Testing
Integration Testing
System Testing
Acceptance Testing
5.
6. Iterative Life Cycles
Not all life cycles are sequential. There are also iterative or incremental life cycles
where, instead of one large development time line from beginning to end, we cycle
through a number of smaller self-contained life cycle phases for the same project.
A common feature of iterative approaches is that the delivery is divided into increments or builds
with each increment adding new functionality. The initial increment will contain the infrastructure
required to support the initial build functionality. The increment produced by an iteration may be
tested at several levels as part of its development. Subsequent increments will need testing for
the new functionality, regression testing of the existing functionality, and integration testing of both
new and existing parts. Regression testing is increasingly important on all iterations after the first
one. This means that more testing will be required at each subsequent delivery phase which must
be allowed for in the project plans. This life cycle can give early market presence with critical
functionality, can be simpler to manage because the workload is divided into smaller pieces, and
can reduce initial investment although it may cost more in the long run. Also early market
presence will mean validation testing is carried out at each increment, thereby giving early
feedback on the business value and fitness-for-use of the product
7.
8. Testing within a life
cycle model
for every development activity there is a corresponding
testing activity;
each test level has test objectives specific to that level;
the analysis and design of tests for a given test level
should begin during the corresponding development
activity;
testers should be involved in reviewing documents as
soon as drafts are avail able in the development cycle.
9. TEST LEVELS
Component
Testing
Component testing, also known as unit, module and program testing,
searches for defects in, and verifies the functioning of software (e.g.
modules, programs, objects, classes, etc.) that are separately testable.
Component testing may include testing of functionality and specific non-
functional characteristics such as resource-behavior (e.g. memory leaks),
performance or robustness testing, as well as structural testing (e.g. decision
coverage). Test cases are derived from work products such as the software
design or the data model.
10. Integration
testing
Integration testing tests interfaces between components,
interactions to different parts of a system such as an operating
system, file system and hardware or interfaces between systems.
Note that integration testing should be differentiated from other
integration activities. Integration testing is often carried out by the
integrator, but preferably by a specific integration tester or test team.
System
testing
System testing is concerned with the behavior of the whole
system/product as defined by the scope of a development project or
product. It may include tests based on risks and/or requirements
specification, business processes, use cases, or other high level
descriptions of system behavior, interactions with the operating
system, and system resources. System testing is most often the final
test on behalf of development to verify that the system to be delivered
meets the specification and its purpose may be to find as many
defects as possible.
11. Acceptance
Testing
The goal of acceptance testing is to establish confidence in the system,
part of the system or specific non-functional characteristics, e.g.
usability, of the system. Acceptance testing is most often focused on a
validation type of testing, whereby we are trying to determine whether
the system is fit for purpose. Finding defects should not be the main
focus in acceptance testing. Although it assesses the system's readiness
for deployment and use, it is not necessarily the final level of testing. For
example, a large-scale system integration test may come after the
acceptance of a system.
12. TEST TYPES: THE TARGETS OF TESTING
Test types are introduced as a means of clearly defining the
objective of a certain test level for a programme or project. We
need to think about different types of testing because testing the
functionality of the component or system may not be sufficient at
each level to meet the overall test objectives. Focusing the testing
on a specific test objective and, therefore, selecting the
appropriate type of test helps making and communicating
decisions against test objectives easier.
13. Testing of function
(functional testing)
The function of a system (or component) is 'what it does'.
This is typically described in a requirements specification, a
functional specification, or in use cases. There may be some
functions that are 'assumed' to be provided that are not
documented that are also part of the requirement for a
system, though it is difficult to test against undocumented
and implicit requirements. Functional tests are based on
these functions, described in documents or understood by
the testers and may be performed at all test levels (e.g. test
for components may be based on a component
specification)
14. Testing of software
product characteristics
(non-functional testing)
A second target for testing is the testing of the quality
characteristics, or non-functional attributes of the system (or
component or integration group). Here we are interested in
how well or how fast something is done. We are testing
something that we need to measure on a scale of
measurement, for example time to respond.
Non-functional testing, as functional testing, is
performed at all test levels. Non-functional testing includes,
but is not limited to, performance testing, load testing,
stress testing, usability testing, maintainability testing,
reliability testing and portability testing. It is the testing of
'how well' the system works.
15. The characteristics and their sub-characteristics are, respectively:
which consists of five sub-characteristics: suitability, accuracy,
security, interoperability and compliance; this characteristic
deals with func tional testing as described in Section 2.3.1;
Functionality
which is defined further into the sub-characteristics maturity
(robustness), fault-tolerance, recoverability and compliance
Reliability
which is divided into the sub-characteristics understandability,
learnability, operability, attractiveness and compliance;
Usability
Efficiency which is divided into the sub-characteristics understandability,
learnability, operability, attractiveness and compliance;
Maintainabili
ty
which consists of five sub-characteristics: analyzability,
changeability, stability, testability and compliance
Portability
which also consists of five sub-characteristics: adaptability,
installability, co-existence, replaceability and compliance
16. Testing of software
structure/architecture
(structural testing)
The third target of testing is the structure of the system or
component. If we are talking about the structure of a system,
we may call it the system architecture. Structural testing is often
referred to as 'white-box' or 'glass-box' because we are
interested in what is happening 'inside the box'.
Structural testing is most often used as a way of measuring the
thoroughness of testing through the coverage of a set of
structural elements or coverage items. It can occur at any test
level, although is it true to say that it tends to be mostly applied
at component and integration and generally is less likely at
higher test levels, except for business-process testing. At
component integration level it may be based on the
architecture of the system, such as a calling hierarchy. A system,
system integration or acceptance testing test basis could be a
business model or menu structure.
17. Testing related to
changes (confirmation
and regression testing)
The final target of testing is the testing of changes. This
category is slightly different to the others because if you
have made a change to the software, you will have
changed the way it functions, the way it performs (or
both) and its structure. However we are looking here at
the specific types of tests relating to changes, even
though they may include all of the other test types
18. MAINTENANCE TESTING
Once deployed, a system is often in service for years or even
decades. During this time the system and its operational
environment is often corrected, changed or extended. Testing that is
executed during this life cycle phase is called 'maintenance testing'.
Note that maintenance testing is different from maintainability
testing, which defines how easy it is to maintain the system.
19. •Usually maintenance testing will
consist of two parts:
•1. Testing the changes
•2. regression tests to show that
the rest of the system has not
been affected by the
maintenance work.
1.Planned modifications
2.Ad-hoc corrective modifications
Impact analysis and
regression testing
Triggers for
maintenance testing