International Journal of Engineering Research and DevelopmentIJERD Editor
• Electrical, Electronics and Computer Engineering,
• Information Engineering and Technology,
• Mechanical, Industrial and Manufacturing Engineering,
• Automation and Mechatronics Engineering,
• Material and Chemical Engineering,
• Civil and Architecture Engineering,
• Biotechnology and Bio Engineering,
• Environmental Engineering,
• Petroleum and Mining Engineering,
• Marine and Agriculture engineering,
• Aerospace Engineering.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
International Journal of Soft Computing and Engineering (IJShildredzr1di
International Journal of Soft Computing and Engineering (IJSCE)
ISSN: 2231-2307, Volume-2, Issue-3, July 2012
251
Abstract— In recent years, software testing is becoming more
popular and important in the software development industry.
Indeed, software testing is a broad term encircling a variety of
activities along the development cycle and beyond, aimed at
different goals. Hence, software testing research faces a collection
of challenges. A consistent roadmap of most relevant challenges is
proposed here. In it, the starting point is constituted by some
important past achievements, while the destination consists of two
major identified goals to which research ultimately leads, but
which remains as reachable as goals. The routes from the
achievements to the goals are paved by outstanding research
challenges, which are discussed in the paper along with the
ongoing work.
Software testing is as old as the hills in the history of digital
computers. The testing of software is an important means of
assessing the software to determine its quality. Since testing
typically consumes 40~50% of development efforts, and consumes
more effort for systems that require higher levels of reliability, it is
a significant part of the software engineering
Software testing is a very broad area, which involves many
other technical and non-technical areas, such as specification,
design and implementation, maintenance, process and
management issues in software engineering. Our study focuses on
the state of the art in testing techniques, as well as the latest
techniques which representing the future direction of this area.
Today, testing is the most challenging and dominating activity
used by industry, therefore, improvement in its effectiveness, both
with respect to the time and resources, is taken as a major factor
by many researchers
The purpose of testing can be quality assurance, verification,
and validation or reliability estimation. It is a tradeoff between
budget, time and quality. Software Quality is the central concern
of software engineering. Testing is the single most widely used
approach to ensuring software quality.
(Keywords: SDLC, Software quality, Testing techniq
Technique .)
I. INTRODUCTION
I. Introduction: Software Testing
Software testing is the process of executing a program or
system with the intent of finding errors. Software is not unlike
other physical processes where inputs are received and
outputs are produced. Where software differs is in the manner
in which it fails. Most physical systems fail in a fixed (and
reasonably small) set of ways. By contrast, software can fail in
Manuscript received: on July, 2012
Maneela Tuteja, Department of Information TechnologyDronacharya
College of Engineering, Gurgaon, Haryana,.
Gaurav Dubey, Amity School of Computer Sciences, Amity University,
Uttar Pradesh,India.,
.
many bizarre ways. Detec ...
Model driven process for real time embeddedcaijjournal
Embedded systems shape our world nowadays. It’s almost impossible to imagine our day to day life without
it. Examples can include cell phones, home appliances, energy generators, satellites, automotive
components …etc. it is even far more complex if there are real-time and interface constraints.
Developing real-time embedded systems is significantly challenging to developers. Results need not be only
correct, but also in a timely manner. New software development approaches are needed due to the
complexity of functional and non-functional requirements of embedded systems.
Due to the complex context of embedded systems, defects can cause life threatening situations. Delays can
create huge costs, and insufficient productivity can impact the entire industry. The rapid evolution of
software engineering technologies will be a key factor in the successful future development of even more
complex embedded systems.
Software development is shifting from manual programming, to model-driven engineering (MDE). One of
the most important challenges is to manage the increasing complexity of embedded software development,
while maintaining the product’s quality, reducing time to market, and reducing development cost.
MDE is a promising approach that emerged lately. Instead of directly coding the software using
programming languages, developers model software systems using expressive, graphical notations, which
provide a higher abstraction level than programming languages. This is called Model Based Development
(MBD).
Model Based Development if accompanied by Model Based Validation (MBV), will help identify problems
early thus reduce rework cost. Applying tests based on the designed models not only enable early detection
of defects, but also continuous quality assurance. Testing can start in the first iteration of the development
process.
As a result of the model based approach, and in addition to the major advantage of early defects detection,
several time consuming tasks within the classical software development life cycle will be excluded. For
embedded systems development, it’s really important to follow a more time efficient approach.
The Need for an Automation Testing Framework_ A Comprehensive Guide.pdfkalichargn70th171
In today's competitive market, enterprises strive for efficient and thorough software testing procedures. To meet this demand, the adoption of test automation has become increasingly prevalent. Test automation frameworks are vital for streamlining this process, providing a standardized approach regardless of the specific tools employed, ultimately leading to more effective results.
Software testing concepts is going to enhance from manual testing to automated testing. Due to rapidly increasing complexity in software development process, the present manual testing technique is not sufficient for effective testing. Hence, here arises the requirement of test automation process. The automation testing is the software testing process in which the tester use advance automation tools for testing software applications areas, which needs to be tested again-and-again due to frequent changes.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
More Related Content
Similar to Modern Formal Methods in Software Engineering.pptx
International Journal of Engineering Research and DevelopmentIJERD Editor
• Electrical, Electronics and Computer Engineering,
• Information Engineering and Technology,
• Mechanical, Industrial and Manufacturing Engineering,
• Automation and Mechatronics Engineering,
• Material and Chemical Engineering,
• Civil and Architecture Engineering,
• Biotechnology and Bio Engineering,
• Environmental Engineering,
• Petroleum and Mining Engineering,
• Marine and Agriculture engineering,
• Aerospace Engineering.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
International Journal of Soft Computing and Engineering (IJShildredzr1di
International Journal of Soft Computing and Engineering (IJSCE)
ISSN: 2231-2307, Volume-2, Issue-3, July 2012
251
Abstract— In recent years, software testing is becoming more
popular and important in the software development industry.
Indeed, software testing is a broad term encircling a variety of
activities along the development cycle and beyond, aimed at
different goals. Hence, software testing research faces a collection
of challenges. A consistent roadmap of most relevant challenges is
proposed here. In it, the starting point is constituted by some
important past achievements, while the destination consists of two
major identified goals to which research ultimately leads, but
which remains as reachable as goals. The routes from the
achievements to the goals are paved by outstanding research
challenges, which are discussed in the paper along with the
ongoing work.
Software testing is as old as the hills in the history of digital
computers. The testing of software is an important means of
assessing the software to determine its quality. Since testing
typically consumes 40~50% of development efforts, and consumes
more effort for systems that require higher levels of reliability, it is
a significant part of the software engineering
Software testing is a very broad area, which involves many
other technical and non-technical areas, such as specification,
design and implementation, maintenance, process and
management issues in software engineering. Our study focuses on
the state of the art in testing techniques, as well as the latest
techniques which representing the future direction of this area.
Today, testing is the most challenging and dominating activity
used by industry, therefore, improvement in its effectiveness, both
with respect to the time and resources, is taken as a major factor
by many researchers
The purpose of testing can be quality assurance, verification,
and validation or reliability estimation. It is a tradeoff between
budget, time and quality. Software Quality is the central concern
of software engineering. Testing is the single most widely used
approach to ensuring software quality.
(Keywords: SDLC, Software quality, Testing techniq
Technique .)
I. INTRODUCTION
I. Introduction: Software Testing
Software testing is the process of executing a program or
system with the intent of finding errors. Software is not unlike
other physical processes where inputs are received and
outputs are produced. Where software differs is in the manner
in which it fails. Most physical systems fail in a fixed (and
reasonably small) set of ways. By contrast, software can fail in
Manuscript received: on July, 2012
Maneela Tuteja, Department of Information TechnologyDronacharya
College of Engineering, Gurgaon, Haryana,.
Gaurav Dubey, Amity School of Computer Sciences, Amity University,
Uttar Pradesh,India.,
.
many bizarre ways. Detec ...
Model driven process for real time embeddedcaijjournal
Embedded systems shape our world nowadays. It’s almost impossible to imagine our day to day life without
it. Examples can include cell phones, home appliances, energy generators, satellites, automotive
components …etc. it is even far more complex if there are real-time and interface constraints.
Developing real-time embedded systems is significantly challenging to developers. Results need not be only
correct, but also in a timely manner. New software development approaches are needed due to the
complexity of functional and non-functional requirements of embedded systems.
Due to the complex context of embedded systems, defects can cause life threatening situations. Delays can
create huge costs, and insufficient productivity can impact the entire industry. The rapid evolution of
software engineering technologies will be a key factor in the successful future development of even more
complex embedded systems.
Software development is shifting from manual programming, to model-driven engineering (MDE). One of
the most important challenges is to manage the increasing complexity of embedded software development,
while maintaining the product’s quality, reducing time to market, and reducing development cost.
MDE is a promising approach that emerged lately. Instead of directly coding the software using
programming languages, developers model software systems using expressive, graphical notations, which
provide a higher abstraction level than programming languages. This is called Model Based Development
(MBD).
Model Based Development if accompanied by Model Based Validation (MBV), will help identify problems
early thus reduce rework cost. Applying tests based on the designed models not only enable early detection
of defects, but also continuous quality assurance. Testing can start in the first iteration of the development
process.
As a result of the model based approach, and in addition to the major advantage of early defects detection,
several time consuming tasks within the classical software development life cycle will be excluded. For
embedded systems development, it’s really important to follow a more time efficient approach.
The Need for an Automation Testing Framework_ A Comprehensive Guide.pdfkalichargn70th171
In today's competitive market, enterprises strive for efficient and thorough software testing procedures. To meet this demand, the adoption of test automation has become increasingly prevalent. Test automation frameworks are vital for streamlining this process, providing a standardized approach regardless of the specific tools employed, ultimately leading to more effective results.
Software testing concepts is going to enhance from manual testing to automated testing. Due to rapidly increasing complexity in software development process, the present manual testing technique is not sufficient for effective testing. Hence, here arises the requirement of test automation process. The automation testing is the software testing process in which the tester use advance automation tools for testing software applications areas, which needs to be tested again-and-again due to frequent changes.
Similar to Modern Formal Methods in Software Engineering.pptx (20)
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
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!
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, 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.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
2. In software engineering,
there are many formal
methods that are used
for specifying and
verifying software
systems, and new ones
are being developed all
the time. Some of the
newer formal
methods that have
gained popularity
recently include:
Model-Driven Development (MDD)
Machine Learning-based methods
Formal Verification (FV)
Model Checking
Synthesis methods
5. Model-Driven
Development
(MDD)
advantages:
It improves the quality and productivity of
software development by reducing the gap
between the model and the implementation.
It provides a way to verify the system's
requirements and architecture.
It allows for early detection of errors and
inconsistencies in the requirements and
architecture.
It can automate repetitive and error-prone
tasks, such as code generation and testing.
It allows for traceability between the models,
the code, and the testing activities.
6. Model-Driven Development (MDD)
disadvantages:
The development of the
models can be time-
consuming and requires
specialized skills.
The models can become
complex and hard to
understand, especially for
large and complex systems.
The transformation of the
models into code may not be
accurate, and the code may
not reflect the actual behavior
of the system.
It can be difficult to maintain
the consistency and coherence
of the models over time.
10. Machine
Learning-based
methods
advantages:
They can improve
the efficiency and
effectiveness of
software design,
testing, and
verification.
They can be used
to automatically
classify software
defects and
diagnose their
causes.
They can be used
to improve the
performance of
other formal
methods such as
model checking,
and theorem
proving.
They can be used
to learn from
historical data and
adapt to changing
conditions.
11. Machine Learning-based methods
disadvantages:
They require a large amount of training data
and a suitable representation of the problem
The performance of the learned models may be
poor if the training data is not representative or
if the model is poorly designed.
It may require specialized expertise in machine
learning to apply effectively.
15. Formal Verification (FV) advantages:
It can prove the absence
of errors, such as buffer
overflows, race conditions,
and deadlocks, in a
system.
It can ensure that the
system will behave as
intended in all possible
scenarios.
It can be used to verify the
system at different levels
of abstraction, from the
highest level requirements
to the lowest level
implementation.
It can be used in
combination with other
formal methods, such as
testing and static analysis,
to achieve different goals.
16. Formal Verification (FV) disadvantages:
IT REQUIRES SPECIALIZED SKILLS
AND EXPERTISE TO USE, AND THE
TOOLS CAN BE COMPLEX AND
DIFFICULT TO USE.
IT CAN BE TIME-CONSUMING AND
COMPUTATIONALLY EXPENSIVE,
ESPECIALLY FOR LARGE AND
COMPLEX SYSTEMS.
IT CAN BE DIFFICULT TO EXPRESS
THE REQUIREMENTS AND
PROPERTIES OF A SYSTEM IN A
FORMAL NOTATION.
NOT EVERY SYSTEM CAN BE
VERIFIED FORMALLY, SOME
SYSTEMS MAY NOT HAVE A
MATHEMATICALLY PRECISE
SPECIFICATION.
20. Model Checking advantages:
It can automatically check the correctness of a system by checking its behavior
against a formal model.
It can check properties such as safety, liveness, and fairness.
It can be applied on different kind of models, like finite state machines, labelled
transition systems, Petri nets, and many other.
It can be automated and hence can save the time and resources required by
manual proof.
21. Model Checking disadvantages:
It can be computationally expensive, especially for large and
complex systems.
It can be difficult to express the requirements and properties of a
system in a formal notation.
It may not be able to check all properties of the system, some
properties may be too complex or too expensive to check.
25. Synthesis methods advantages:
THEY CAN GENERATE CORRECT-
BY-CONSTRUCTION CODE, WHICH
IS GUARANTEED TO MEET
SAFETY AND PERFORMANCE
PROPERTIES BY DESIGN.
THEY CAN BE USED TO
SYNTHESIZE BOTH SEQUENTIAL
AND CONCURRENT PROGRAMS
THEY CAN BE APPLIED ON
DIFFERENT LEVEL OF
ABSTRACTION, RANGING FROM
THE GENERATION OF
CONTROLLERS TO THE
DERIVATION OF LOW-LEVEL
CODES.
THEY CAN SAVE TIME AND
RESOURCES NEEDED TO WRITE,
TEST AND DEBUG CODE
MANUALLY.
26. Synthesis methods disadvantages:
They require specialized
skills and expertise to use,
and the tools can be
complex and difficult to use.
They can be
computationally expensive,
especially for large and
complex systems.
They may not be able to
handle all cases and
properties, some may be
too complex to be handled.
It may require significant
effort to convert the
informal specifications to a
formal ones.