#1 formal methods – introduction for software engineeringSharif Omar Salem
formal methods – introduction for software engineering
Part of formal class notes of the module "Formal Methods"
designed for software engineering students of BSc. level.
In software engineering, software configuration management (SCM or S/W CM) is the task of tracking and controlling changes in the software, part of the larger cross-disciplinary field of configuration management. SCM practices include revision control and the establishment of baselines.
This Presentation explains the SCM Process.
#1 formal methods – introduction for software engineeringSharif Omar Salem
formal methods – introduction for software engineering
Part of formal class notes of the module "Formal Methods"
designed for software engineering students of BSc. level.
In software engineering, software configuration management (SCM or S/W CM) is the task of tracking and controlling changes in the software, part of the larger cross-disciplinary field of configuration management. SCM practices include revision control and the establishment of baselines.
This Presentation explains the SCM Process.
This topic covers the following topics
Introduction
Golden rules of user interface design
Reconciling four different models
User interface analysis
User interface design
User interface evaluation
Example user interfaces
Software Requirement Specification is a most important topic asked in exams and for presentations in B.Tech comp. engg. This presentation contains all the important topic and deep knowledge of SRS.It includes definition, scope, role, how to write srs, template and template description. It tells how to build SRS and also includes examples for ease.
In software engineering and software architecture design, design decisions address architecturally significant requirements; they are perceived as hard to make and/or costly to change. It is called also architecture strategies and tactics.
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
'A critique of testing' UK TMF forum January 2015 Georgina Tilby
This presentation draws upon the 'Critique of Testing' Ebook that was discussed at January's UK TMF forum. The slides explore the fundamental concepts of test case design and provide a detailed analysis of each method in terms of them.
This topic covers the following topics
Introduction
Golden rules of user interface design
Reconciling four different models
User interface analysis
User interface design
User interface evaluation
Example user interfaces
Software Requirement Specification is a most important topic asked in exams and for presentations in B.Tech comp. engg. This presentation contains all the important topic and deep knowledge of SRS.It includes definition, scope, role, how to write srs, template and template description. It tells how to build SRS and also includes examples for ease.
In software engineering and software architecture design, design decisions address architecturally significant requirements; they are perceived as hard to make and/or costly to change. It is called also architecture strategies and tactics.
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
'A critique of testing' UK TMF forum January 2015 Georgina Tilby
This presentation draws upon the 'Critique of Testing' Ebook that was discussed at January's UK TMF forum. The slides explore the fundamental concepts of test case design and provide a detailed analysis of each method in terms of them.
Esoft Metro Campus - Diploma in Information Technology - (Module VII) Software Engineering
(Template - Virtusa Corporate)
Contents:
What is software?
Software classification
Attributes of Software
What is Software Engineering?
Software Process Model
Waterfall Model
Prototype Model
Throw away prototype model
Evolutionary prototype model
Rapid application development
Programming styles
Unstructured programming
Structured programming
Object oriented programming
Flow charts
Questions
Pseudo codes
Object oriented programming
OOP Concepts
Inheritance
Polymorphism
Encapsulation
Generalization/specialization
Unified Modeling Language
Class Diagrams
Use case diagrams
Software testing
Black box testing
White box testing
Software documentation
Ambiguous Requirements – Translating the message from C-level to implementationGeorgina Tilby
Using a mathematical model used for cost projection, ambiguities result in increased margins of error.
Using the same reasoning, it can be shown that ambiguities directly result in divergence from the high-level vision.
By the time the implementation is reviewed by the C-Level executive, it is too late, and correcting the ‘defects’ will take time and money.
Delivering quality projects, on time and to specification, requires eliminating this divergence – hence, better and less ambiguous requirements are the order of the day.
How to Actually DO High-volume Automated TestingTechWell
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Introduction to Software Engineering and Software Process Modelssantoshkawade5
S/W Engineering
Software Engineering Fundamentals: Introduction to software engineering, The Nature of Software, Defining Software, Software Engineering Practice.
A Generic Process Model, defining a Framework Activity, Identifying a Task Set, Process Patterns, Process Assessment and Improvement, Prescriptive Process Models, The Waterfall Model, Incremental Process Models, Evolutionary Process Models, Concurrent Models, A Final Word on Evolutionary Processes. Unified Process, Agile software development: Agile methods, plan driven and agile development.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
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/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Large Language Models and the End of ProgrammingMatt Welsh
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Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
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4. Motivation
• Software projects fail [Barry Boehm, ICSE’06]
– 90% overrun on cost
– 121% overrun on schedule
– Delivers only 61%
• Finding and fixing bugs consume 50% of total
effort in software development
6. Causes of failure
• User requirements not specified properly
• Design does not meet user requirements
7. Causes of failure
• User requirements not specified properly
• Design does not meet user requirements
– More than 50% of all defects due to above two
reasons
8. Causes of failure
• User requirements not specified properly
• Design does not meet user requirements
– More than 50% of all defects due to above two
reasons
• Implementation errors
– Low-level errors such as null-pointer dereference ,
array index out of bounds
9. Causes of failure
• User requirements not specified properly
• Design does not meet user requirements
– More than 50% of all defects due to above two
reasons
• Implementation errors
– Low-level errors such as null-pointer dereference ,
array index out of bounds
– As software ages, size increases, hence complexity
increases
– Hence implementation errors increase with age
10. Causes of failure
• User requirements not specified properly
• Design does not meet user requirements
– More than 50% of all defects due to above two
reasons
• Implementation errors
– Low-level errors such as null-pointer dereference ,
array index out of bounds
– As software ages, size increases, hence complexity
increases
– Hence implementation errors increase with age
Using mathematical
techniques can help
11. Formal methods - definition
• Formal methods in software engineering are
mathematical techniques employed in
software development to make it more
reliable and robust
• Various tools based on these techniques have
been developed
12. Alloy
• Formal modelling of entities and associations
using sets and relations
• Modelling of constraints on the entities
• Analyzing the consistency of the model and
identifying the errors
13. Example – family relationships
• Relationships between “Person” entity
• Constraints:
– Every person has two parents
– Parents of any child are married
– Cannot marry a sibling or a parent
– Every person is married to at most one person
– a married to b implies b is married to a
– A man can only marry a woman and vice-versa
14. How Alloy works
• An Alloy model M is interpreted as a conjunctive
logical formula, fM
• Constraints enforced by signatures as well as facts
automatically become part of fM
• An instance or solution to the model is
– A finite universe U of atoms
– An assignment of subsets of U to the different
signatures
– An assignment of relations to different relations
such that it satisfies fM
15. Modelling notation to logical formula
• For example
“no p: Person | some p.spouse & p.parents”
becomes
16.
17. Model-checking
• Model-checking can be used to check if an
initial design satisfies certain properties
• Given an abstract model like a state machine,
and a specification of behaviour (typically in
temporal logic), model checker tries to check
whether model satisfies the property
• If not provides a counter-example
18. Example
“nocreate” - Once a task has ended it is never created
again.
“nostarve” - Once a task is ready it eventually runs
“stateseq“ - Each task follows specified state motion
19. Temporal logic
• p: an atomic proposition
• X p: property p holds starting in next state
• F p: property p holds eventually in a future
state
• G p: property p holds at all future states
• U(p,q): property q holds eventually and p
holds till that time.
20. Model-checking
• Property P can be expressed as LTL formula, F
• Construct a “Buchi-automata”, A, for not F
• Take “product” of A with transition system of
the model, T
• Look for accepting path in this product
• If such a path exists, this is a counter-example
to the claim that T satisfies the property P
• If no such path exists, then T satisfies P
23. Some model checkers
• SAL – developed by Stanford Research
Institute
• SLAM – developed by Microsoft Research
• BLAST – developed by University of California,
Berkeley