1) Testing occurs throughout the entire software development life cycle according to the chosen model. Common models include waterfall, V-model, iterative development, and agile development.
2) Testing is organized into different levels - component, integration, system, and acceptance testing. It also targets different aspects - functionality, non-functional characteristics, structure, and changes.
3) During maintenance, additional testing is needed to test modifications to the system and ensure no unintended regressions occurred due to changes in code or environment. Impact analysis and regression testing are important maintenance testing activities.
This chapter discusses the most commonly applied software development models, test levels and test types. Maintenance can be seen as a specific instance of adevelopment process. The way maintenance influences the test process, levels and types and howtesting can be organized is described in the last section of this chapter.
This chapter discusses the most commonly applied software development models, test levels and test types. Maintenance can be seen as a specific instance of adevelopment process. The way maintenance influences the test process, levels and types and howtesting can be organized is described in the last section of this chapter.
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What you will learn in this second section
Software Testing Methodologies. Waterfall, V-Model and Iterative
What is unity or component system testing
What is integration, system and acceptance means
Differences between functional and non-functional testing
What is a structural testing
Change-related testing
Maintenance testing
Access my blog for much more material and the mock exams.
www.rogeriodasilva.com
In software industry, the concept of quality has become a significant aspect and is
expressed and defined in many different ways. Quality assurance, and in particular software
testing and verification, are areas that yet have much to offer to the industry. This paper
emphasizes the importance of a quality process and also discusses about the ways in which it
could be achieved through offline software quality techniques in particular SFMEA Model.
Software FMEA determines the software failure modes that are likely to cause top
level failure events. Software FMEAs are useful when designing and testing the error
handling part of the software process. It has to be found that there is significant improvement
in quality in terms of reduced RPN values.
Ini adalah tugas Testing throughout the software life cycle 2
Semoga slide ini bisa menjadi pelajaran untuk kita semua
http://sif.uin-suska.ac.id
http://fst.uin-suska.ac.id
http://www..uin-suska.ac.id
COURSE IS NOW FULLY AVAILABLE AND LIVE HERE: https://goo.gl/gVukvc
What you will learn in this second section
Software Testing Methodologies. Waterfall, V-Model and Iterative
What is unity or component system testing
What is integration, system and acceptance means
Differences between functional and non-functional testing
What is a structural testing
Change-related testing
Maintenance testing
Access my blog for much more material and the mock exams.
www.rogeriodasilva.com
In software industry, the concept of quality has become a significant aspect and is
expressed and defined in many different ways. Quality assurance, and in particular software
testing and verification, are areas that yet have much to offer to the industry. This paper
emphasizes the importance of a quality process and also discusses about the ways in which it
could be achieved through offline software quality techniques in particular SFMEA Model.
Software FMEA determines the software failure modes that are likely to cause top
level failure events. Software FMEAs are useful when designing and testing the error
handling part of the software process. It has to be found that there is significant improvement
in quality in terms of reduced RPN values.
Software Development Models by Graham et alEmi Rahmi
Software Development Models - Graham et al Foundation of Software Testing
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http://www.uin-suska.ac.id/
Software Development Models - Graham et al Foundation of Software Testing
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http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Testing throughout the software life cycleyahdi sandra
YAHDI SANDRA
1143104752
Program Studi S1 Sistem Informasi
Fakultas Sains dan Teknologi
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Testing Throughout The Software Life Cycleelvira munanda
Testing is not a stand-alone activity. It has its place within a software development life cycle model and therefore the life cycle applied will largely determine how testing is organized
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)
Testing throughout the software life cycle - Testing & Implementationyogi syafrialdi
The development process adopted for a project will depend on the project aims and goals. There are numerous development life cycles that have been developed in order to achieve different required objectives.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
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Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
5. Introduction...
Testing is not a stand-alone activity. It has its place within a software development life cycle mode
l and therefore the life cycle applied will largely determine how testing is organized.
There are many different forms of testing. Because several disciplines, often with different interest
s, are involved in the development life cycle, it is important to clearly understand and define the v
arious test levels and types. This chapter discusses the most commonly applied software develop
ment models, test levels and test types. Maintenance can be seen as a specific instance of a devel
opment process. The way maintenance influences the test process, levels and types and how testi
ng can be organized is described in the last section of this chapter.
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.
SISTEM INFORMASI - UIN SUSKA RIAU
6. SOFTWARE DEVELOPMENT MODELS
The development process adopted for a project will depend on the project
aims and goals. There are numerous development life cycles that have been
developed in order to achieve different required objectives. These life cycles
range from lightweight and fast methodologies, where time to market is o
f the essence, through to fully controlled and documented methodologies w
here quality and reliability are key drivers. Each of these methodologie
s has its place in modern software development and the most appropriat
e development process should be applied to each project. The models speci
fy the various stages of the process and the order in which they are carried
out.
SISTEM INFORMASI - UIN SUSKA RIAU
8. V-Model
The V-model was developed to address some of the problems experienced using the traditi
onal waterfall approach. . Defects were being found too late in the life cycle, as testing was
not involved until the end of the project. Testing also added lead time due to its late involv
ement. The V-model is a model that illustrates how testing activities (verification and valida
tion) can be integrated into each phase of the life cycle. Within the V-model, validation test
ing takes place especially during the early stages, e.g. reviewing the user requirements, and
late in the life cycle, e.g. during user acceptance testing.
V-Model
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9. Iterative Life Cycle
Examples of iterative or incremental development models are prototyping,
Rapid Application Development (RAD), Rational Unified Process (RUP) and Agil
e development. For the purpose of better understanding iterative develop- me
nt models and the changing role of testing a short explanation of both RAD a
nd agile development is provided.
SISTEM INFORMASI - UIN SUSKA RIAU
10. Iterative Life Cycle...,
Rapid Application Development (RAD)
•Rapid Application Development (RAD) is formally a parallel
development of functions and subsequent integration. The RAD
development process encourages active customer feedback.
Agile Development
•Extreme Programming (XP) is currently one of the most well-known
agile development life cycle models. The methodology claims to be
more human friendly than traditional develop- ment methods.
RAD
SISTEM INFORMASI - UIN SUSKA RIAU
11. Testing within a life cycle model
In summary, whichever life cycle model is being used, there are several
characteristics of good testing:
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.
SISTEM INFORMASI - UIN SUSKA RIAU
12. TEST LEVEL
A thorough understanding and definition of the various test levels will identify missing areas and
prevent overlap and repetition. Sometimes we may wish to introduce deliberate overlap to addres
s specific risks. Understanding whether we want overlaps and removing the gaps will make the te
st levels more complementary thus leading to more effective and efficient testing.
SISTEM INFORMASI - UIN SUSKA RIAU
13. 1
Component Testing
Component testing, also known as unit, m
odule and program testing, searches for de
fects in, and verifies the functioning of soft
ware (e.g. modules, programs, objects, class
es, etc.) that are separately testable.
TEST LEVEL
2
Integration Testing
Integration testing tests interfaces betwee
n components, interactions to dif- ferent pa
rts of a system such as an operating syste
m, file system and hard- ware or interfaces
between systems.
3
System Testing
System testing is concerned with the beha
vior of the whole system/product as define
d by the scope of a development project or
product.
4
Acceptance Testing
When the development organization has p
erformed its system test and has cor- recte
d all or most defects, the system will be del
ivered to the user or customer for accepta
nce testing.
SISTEM INFORMASI - UIN SUSKA RIAU
14. 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 differ- ent types of testing because testing the fu
nctionality of the component or system may not be sufficient at each level to meet the overall tes
t objectives. Focusing the testing on a specific test objective and, therefore, selecting the appropri
ate type of test helps making and communicating decisions against test objectives easier.
SISTEM INFORMASI - UIN SUSKA RIAU
15. 1
TESTING OF FUNCTION (FUNCTIONAL TEST
ING)
Functional testing considers the specifie
d behavior and is often also referred to
as black-box testing.
TEST TYPE
2
TESTING OF SOFTWARE PRODUCT CHARACTERISTICS
(NON-FUNCTIONAL TESTING)
Non-functional testing, as functional testing, is p
erformed at all test levels. Non-functional testin
g includes, but is not limited to, performance te
sting, load testing, stress testing, usability testi
ng, maintainability testing, reliability testing and
portability testing.
3
TESTING OF SOFTWARE STRUCTURE/ARC
HITECTURE (STRUCTURAL TESTING)
The third target of testing is the structure of the s
ystem or component. If we are talking about the s
tructure of a system, we may call it the system arc
hitecture. Structural testing is often referred to as
'white-box' or 'glass-box' because we are interest
ed in what is happening 'inside the box'.
4
TESTING RELATED TO CHANGES (CONFIR
MATION AND REGRESSION TESTING)
The final target of testing is the testing of chang
es. This category is slightly dif- ferent to the oth
ers because if you have made a change to the s
oftware, you will have changed the way it functi
ons, the way it performs (or both) and its struc-
ture.
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16. 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.
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Impact analysis and regression testing
•During impact analysis, together with stakeholders, a deci- sion is
made on what parts of the system may be unintentionally affected and
therefore need careful regression testing
Triggers for maintenance testing
•Modifications include planned enhancement changes (e.g. release-
based), cor- rective and emergency changes, and changes of
environment, such as planned operating system or database upgrades,
or patches to newly exposed or discov- ered vulnerabilities of the
operating system.
17. Graham et al Foundations of Software Testing.
Reference by:
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