I am Mohsin Ali Student of Sofware Engineering. Software Engineering Sir give us these slides to read and learn from it. And these Slides are very interesting for Sofware Eng Students.
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
fter Completing this chapter you should be able to:
understand what software engineering is and why it is important;
understand the concepts of software processes and software process models;
Compare and contrast a variety of models
understand some ethical and professional issues that are important for software engineers;
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
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.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
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.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
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.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
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/
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
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.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
3. 3
1. Problems Faced By The Customers
1. US Internal Revenue System has abandoned its tax system
modernization program after having spent $4 billion;
2. the state of California spent $1 billion on its non-functional welfare
database system;
3. the £339 million UK air traffic control system was reported as
being two years behind schedule;
4. a discount stock brokerage company had 50 people working 14
hours or more a day to correct three months of records clerically –
the report commented that the new system had been rushed into
operation without adequate testing;
5. in the United Kingdom, a Home Office immigration service
computerization project was reported as having missed two
deadlines and was nine months late;
6. the Public Accounts Committee of the House of Commons (UK)
blamed software bugs and management errors for £12 million of
project costs in relation to an implementation of a Ministry of
agriculture computer system to administer farm subsidies.
7. More ???
SOFTWARE PROJECT FAILURE
4. 4
3. AN INDUSTRY PERSPECTIVE
2. GENERAL
H/W advances continue to outpace the pace of building S/W to tap
hardware’s potential.
Why cost estimations are mostly incorrect?
Why requirements are kept changing
Why does it take so long to get programs finished?
Why are costs so high?
Why can’t we find all errors before we give the S/W to our
customer?
Why do we have difficulty in measuring progress as S/W is being
developed?
Our ability to build S/W could not keep pace with the growing need
of business and market
Demand of highly reliable operations (ticketing, communication and
power control) of S/W due to our dependency on computer
SOFTWARE CRISES
5. 5
4. SOFTWARE COMPETITIVENESS
S/W is now an extremely competitive business. We cannot afford
unlimited cost and time for poor quality software.
SOFTWARE CRISES
6. 6
The statistics – Chaos Report
Project completion
16%
31%
53%
On time, on budget,
with all of the specified
features and functions
Cancelled before they
were completed
delivered and
operational but over-
budget, over-schedule
or with fewer features
and functions than
specified
Standish Group – 1995
365 IT executives in US
companies in diverse industry
segments.
8,380 projects
average cost
overrun = 189%
average
time
overrun =
222%.
61% of originally specified
features included
?
In Averages
• 189% of original budget
• 221% of original schedule
• 61% of original functionality
7. 7
Symptom of Software Crisis
About US$250 billions spent per year in
the US on application development
Out of this, about US$140 billions
wasted due to the projects getting
abandoned or reworked; this in turn
because of not following best practices
and standards
Ref: Standish Group, 1996
8. 8
Symptom of Software Crisis
10% of client/server apps are abandoned or
restarted from scratch
20% of apps are significantly altered to avoid
disaster
40% of apps are delivered significantly late
Source: 3 year study of 70 large c/s apps 30 European firms.
Compuware (12/95)
9. 9
Software products:
– fail to meet user requirements
– crash frequently
– expensive
– difficult to alter, debug, enhance
– often delivered late
– use resources non-optimally
Observed Problems
10. 10
Why is the Statistics so Bad?
Misconception on software development
– Software myths, e.g., the man-month myth
– False assumptions
– Not distinguishing the coding of a computer
program from the development of a software
product
Software programs have exponential growth in
complexity and difficulty level with respect to size.
– The ad hoc approach breaks down when size of
software increases.
11. 11
Why is the Statistics so Bad?...
Software professionals lack engineering
training
– Programmers have skills for programming
but without the engineering mindset about
a process and discipline
12. How is Software usually Constructed …
The requirements
specification was
defined like this
The developers
understood it in
that way
This is how the
problem was
solved before.
This is how the
problem is
solved now
That is the program
after debugging
This is how the program is
described by marketing dept.
This, in fact, is what the
customer wanted … ;-)
13. 13
Software Myths
(Customer Perspectives)
A general statement of objectives is sufficient to
get started with the development of software.
Missing/vague requirements can easily be
incorporated/detailed out as they get concretized.
Application requirements can never be stable;
software can be and has to be made flexible
enough to allow changes to be incorporated as
they happen.
15. 15
Until the software is coded and is available for
testing, there is no way for assessing its quality.
Usually, there are too many
tiny bugs inserted at every stage
that grow in size and complexity
as they progress thru further
stages!
Software Myths
(Developer Perspectives)
16. 16
The only deliverable for a software
development project is the tested code.
The code is only
the externally visible component
of the entire software
complement!
Software Myths
(Developer Perspectives)
17. 17
Software Myths
(Management Perspectives)
As long as there are good standards and clear procedures in
my company, I shouldn’t be too concerned.
But the proof of the pudding
is in the eating;
not in the Recipe !
18. 18
Software Myths
(Management Perspectives)
As long as my software engineers(!) have access to the
fastest and the most sophisticated computer
environments and state-of-the-art software tools, I
shouldn’t be too concerned.
The environment is
only one of the several factors
that determine the quality
of the end software product!
19. 19
Software Myths
(Management Perspectives)
When my schedule slips, what I have to do is to
start a fire-fighting operation: add more software
specialists, those with higher skills and longer
experience - they will bring the schedule back on
the rails!
Unfortunately,
software business does not
entertain schedule compaction
beyond a limit!
20. 20
Misplaced Assumptions
All requirements can be pre-specified
Users are experts at specification of their
needs
Users and developers are both good at
visualization
The project team is capable of
unambiguous communication
Ref: Larry Vaughn
21. 21
Usually small in size
Author himself is sole
user
Single developer
Lacks proper user
interface
Lacks proper
documentation
Ad hoc development.
Large
Large number of
users
Team of developers
Well-designed
interface
Well documented &
user-manual prepared
Systematic development
Programs Software Products
Confused with Programs and
Products
22. 22
Software Programming ≠ Software
Engineering
Software programming: the process of translating a
problem from its physical environment into a language that
a computer can understand and obey. (Webster’s New
World Dictionary of Computer Terms)
– Single developer
– “Toy” applications
– Short lifespan
– Single or few stakeholders
• Architect = Developer = Manager = Tester = Customer = User
– One-of-a-kind systems
– Built from scratch
– Minimal maintenance
23. 23
Software Programming ≠ Software
Engineering
Software engineering
– Teams of developers with multiple roles
– Complex systems
– Indefinite lifespan
– Numerous stakeholders
• Architect ≠ Developer ≠ Manager ≠ Tester ≠ Customer ≠ User
– System families
– Reuse to amortize costs
– Maintenance accounts for over 60% of overall
development costs
24. Second cause of confusion lies in the fact that there is no generally
agreed definition of software engineering, although many are similar.
Software Engineering as a term was first coined in 1968 at a NATO
conference in West Germany held to discuss the software crises
For example, Bohem, states that ‘software engineering is the
application of science and mathematics by which the capabilities
of computer equipment are made useful to man via computer
programs, procedures and associated documentation.’
Other definitions such as Fairley’s 1985 explicitly include the
concerns of management in the software development process:
‘Software engineering is the technological and managerial
discipline concerned with systematic production and
maintenance of software products that are developed and
modified on time and within cost estimates.’
The term S/W Engineering was/is sometimes confusing, firstly
because S/W engineer (some times) work as system programmer,
people assume that the engineering component of the term comes
from this source. SO we have H/W engg and S/W engg.
WHAT IS SOFTWARE ENGINEERING?
25. "The establishment and use of sound engineering
principles (methods) in order to obtain economically
software that is reliable and works on real machines"
[Bauer 1972].
"cost-effective Software engineering is that form of
engineering that applies the principles of computer science
and mathematics to achieving solutions to software
problems.“ [CMU/SEI-90-TR-003]
"The application of a systematic, disciplined, quantifiable
approach to the development, operation, and maintenance
of software" [IEEE Standard Computer Dictionary,
610.12, ISBN 1-55937-079-3, 1990].
What is Software Engineering? (ctd.)
26. What is Software Engineering? (ctd)
Software engineering is concerned with the theories,
methods and tools for developing, managing and evolving
software products. (I. Sommerville, 6ed.)
A discipline whose aim is the production of quality
software, delivered on time, within budget, and satisfying
users' needs. (Stephen R. Schach, Software Engineering,
2ed.)
The practical application of scientific knowledge
in the design and construction of computer
programs and the associated documentation
required to develop, operate and maintain them
(B.W. Boehm)
Multi-person construction of multi-version software
(Parnas, 1987)
27. 27
So, Software Engineering is …
Scope
– study of software process, development
principles, techniques, and notations
Goals
– production of quality software,
– delivered on time,
– within budget,
– satisfying customers’ requirements and users’
needs
28. 28
The Role/Scope Of S/W Engineering In System Design
A software system is often a component of a much larger system.
The software engineering activity is therefore a part of a much
larger system design activity in which the requirements of the
software are balanced against the requirements of other parts of
the system being designed.*
For Example, A requirement such as “the system must not be down
for more than a second in 20 years” or “when a receiver is taken off-
hook, a dial tone is played within half a second” can be satisfied
with a combination of hardware, software and special devices.
A trade off is required as what should be done in software and what
should be done in hardware. Software implementation offers
flexibility, while hardware implementation offers performance.$
To do software engineering right, requires a broader look at the
general problem of system engineering. It requires software
engineer to be involved when requirements are being developed
initially for the whole system.
29. 29
It requires that software engineer attempt to understand the
application area rather than just what abstract interfaces the
software must meet.
30. 30
S/W CHARACTERISTICS
3.
Software is developed or engineered,
it is not manufactured in the classical
sense.
Software doesn’t wear out
Software is complex
Software is like an ‘aging factory’
Industry is moving towards
component-based assembling, most
software is custom built.