This document discusses the nature and characteristics of software. It can be summarized as follows:
1. Software encompasses computer programs, content presented during program execution, and documentation. It is both a product and delivers other products by transforming information.
2. Software is complex and consists of instructions, data structures, and documentation. Unlike hardware, software does not wear out over time but can deteriorate if errors are introduced.
3. Software engineering is defined as the process of analyzing user requirements and designing, building, and testing software applications to meet those requirements. It involves systematic and disciplined development, operation, and maintenance of software.
Requirements Engineering,
Functional and Non-Functional Requirements,
Engineering Design Process and Process Engineering,
Logistics Management,
Risk management, and
Requirements specification
Innoslate is a Model-Based Systems Engineering cloud or on-premise software solution from SPEC Innovations. Create a single source of truth from your requirements management to modeling and simulation to verification and validation. Work as a team with Innoslate's collaboration features. Learn more at innoslate.com
Reference data is something we often encounter in our projects. In our experience, it is often underestimated and does not get enough attention. In the webinar, we want to make you aware of some interesting aspects of ‘reference data’ such as how it relates to MDM, which it’s often mixed with.
My name K.Yesubabu Setty from Hyderabad, India.This ppt includes the information about Software system development tools,methodologies, design. A brief explanation about software system.
This slideshow walks through common and popular Architectural design patterns such as Data-Driven Architecture, Micro-Services, Layered Architecture, and Micro-Kernel Architecture. I also go over the pros and cons and in which scenario each architecture is preferable
Requirements Engineering,
Functional and Non-Functional Requirements,
Engineering Design Process and Process Engineering,
Logistics Management,
Risk management, and
Requirements specification
Innoslate is a Model-Based Systems Engineering cloud or on-premise software solution from SPEC Innovations. Create a single source of truth from your requirements management to modeling and simulation to verification and validation. Work as a team with Innoslate's collaboration features. Learn more at innoslate.com
Reference data is something we often encounter in our projects. In our experience, it is often underestimated and does not get enough attention. In the webinar, we want to make you aware of some interesting aspects of ‘reference data’ such as how it relates to MDM, which it’s often mixed with.
My name K.Yesubabu Setty from Hyderabad, India.This ppt includes the information about Software system development tools,methodologies, design. A brief explanation about software system.
This slideshow walks through common and popular Architectural design patterns such as Data-Driven Architecture, Micro-Services, Layered Architecture, and Micro-Kernel Architecture. I also go over the pros and cons and in which scenario each architecture is preferable
Introduction to software engineering information.
How the concept of the software engineering discover.
Nature of the software with categorization.
Software Crises in software engineering.
Programming practice with the concept of software engineering.
Software Project management practice with the help software engineering.
Design and Patterns concepts also.
Introduction to software engineering
Software products
Why Software is Important?
Software costs
Features of Software?
Software Applications
Software—New Categories
Software Engineering
Importance of Software Engineering
Essential attributes / Characteristics of good software
Software Components
Software Process
Five Activities of a Generic Process framework
Relative Costs of Fixing Software Faults
Software Qualities
Software crisis
Software Development Stages/SDLC
What is Software Verification
Advantages of Software Verification
Advantages of Validation
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
3. Computer software is the product that software professionals build and
then support over the long term. It encompasses programs that execute within a
computer of any size and architecture, content that is presented as the computer
programs execute, and descriptive information in both hard copy and virtual forms
that encompass virtually any electronic media.
Nature of software
It is a product, and at the same time, the vehicle for delivering a product.
software is an information transformer—producing, managing, acquiring,
modifying, displaying, or transmitting information that can be as simple as a
single bit or as complex as a multimedia presentation derived from data
acquired from dozens of independent sources.
4. Software is:
(1) instructions (computer programs) that when executed provide desired
features, function, and performance;
(2) data structures that enable the programs to adequately manipulate
information, and
(3) descriptive information in both hard copy and virtual forms that
describes the operation and use of the programs.
5. In both activities such as hardware and software, high
quality is achieved through good design.
In hardware – quality problems that is nonexistent for
software.
Both activities are dependent on people but the
relationship between people applied and work
accomplished is entirely different.
6. Failure curve for hardware
Steady – state level
Hardware failure due to dust, vibration, abuse,
temperature extremes and etc…
7. Failure curve for software
• Idealized curve
• Deteriorate (get worse).
• Error will be introduced, causing a failure rate curve to spike as shown
in “Active curve”.
Features of Software
•software is engineered
• software doesn’t wear out
• software is complex
8. What is Software Engineering?
Software engineering is defined as a process of
analyzing user requirements and then designing,
building, and testing software application which will
satisfy those requirements.
9. Software Application Domains
System software— a collection of programs written to service
other programs.
e.g., compilers, editors, and file management utilities, operating
system components, drivers, networking software,
telecommunications processors
Application software —stand-alone programs that solve a specific
business need.
Engineering/scientific software —a broad array of “number-
crunching programs that range from astronomy to volcanology,
from automotive stress analysis to orbital dynamics, and from
computer-aided design to molecular biology, from genetic analysis
to meteorology
10. Embedded software— resides within a product or system and is
used to implement and control features and functions for the end
user and for the system itself.
Product-line software —designed to provide a specific capability
for use by many different customers. inventory control products
Web/Mobile applications —this network-centric software
category spans a wide array of applications and encompasses both
browser-based apps and software that resides on mobile devices
11. Artificial intelligence software— makes use of nonnumerical
algorithms to solve complex problems that are not amenable to
computation or straightforward analysis.
Example : robotics, expert systems, pattern recognition (image and
voice), artificial neural networks, theorem proving, and game playing.
12. Legacy Software:
Legacy software systems were developed decades ago and have been
continually modified to meet changes in business requirements and
computing platforms
Evolve for one or more of the following reasons:
• The software must be adapted to meet the needs of new computing
environments or technology.
• The software must be enhanced to implement new business requirements.
• The software must be extended to make it interoperable with other more
modern systems or databases.
• The software must be re-architected to make it viable within a evolving
computing environment.
13. THE CHANGING NATURE OF SOFTWARE
WebApps
Web-based systems and applications
Mobile Applications
software that has been specifi cally designed to reside on a mobile platform (e.g.,
iOS, Android, or Windows Mobile).
Cloud Computing
Cloud computing encompasses an infrastructure or “ecosystem” that enables any
user, anywhere, to use a computing device to share computing resources on a
broad scale.
Product Line Software
The Software Engineering Institute defines a software product line as “a
set of software-intensive systems that share a common, managed set of features
satisfying the specific needs of a particular market segment or mission and that are
developed from a common set of core assets in a prescribed way.”
14. Software Engineering Definition:
(1) The application of a systematic, disciplined, quantifiable approach to the
development, operation, and maintenance of software; that is, the application of
engineering to software.
Software engineering is a layered technology. Organizational commitment to
quality. Total quality management, Six Sigma
The foundation for software engineering is the process layer. technology layers
together and enables rational and timely development of computer software
Software engineering methods provide the technical how-to’s for building
software. Methods encompass a broad array of tasks that include
communication, requirements analysis, design modeling, program construction,
testing, and support.
Software engineering tools provide automated or semi-automated support for the
process and the methods. computer-aided software engineering ,
15. A process is a collection of activities, actions, and tasks that are performed when
some work product is to be created.
An activity strives to achieve a broad objective (e.g., communication with
stakeholders) and is applied regardless of the application domain, size of the
project, complexity of the effort, or degree of rigor with which software
engineering is to be applied.
An action (e.g., architectural design) encompasses a set of tasks that produce a
major work product (e.g., an architectural model).
A task focuses on a small, but well-defined objective (e.g.,conducting a unit test)
that produces a tangible outcome.
THE SOFTWARE PROCESS
16. The Process Framework
Process framework establishes the foundation for a complete
software engineering process by identifying a small number of framework
activities that are applicable to all software projects, regardless of their size
or complexity.
The process framework encompasses a set of umbrella activities
Generic process framework
Communication : communicate and collaborate with the customer
Planning : software project plan—defines the software engineering work by
describing the technical tasks to be conducted, the risks , resources that
will be required, the work products to be produced, and a work schedule.
Modeling : create a “sketch” of the thing
Construction : code generation (either manual or automated) and the
testing
Deployment : The software is delivered to the customer who evaluates the
delivered product
17. Umbrella Activities
umbrella activities are applied throughout a software
project and help a software team manage and control
progress, quality, change, and risk. Typical umbrella
activities include:
18. Software project tracking and control —allows the
software team to assess progress against the project plan
and take any necessary action to maintain the schedule.
Risk management —assesses risks that may affect the
outcome of the project or the quality of the product.
Software quality assurance —defines and conducts the
activities required to ensure software quality.
19. Technical reviews —assess software engineering work
products in an effort to uncover and remove errors before they
are propagated to the next activity.
Measurement —defines and collects process, project, and
product measures that assist the team in delivering software that
meets stakeholders’ needs; can be used in conjunction with all
other framework and umbrella activities.
Software configuration management —manages the effects
of change throughout the software process.
Reusability management —defines criteria for work product
reuse (including software components) and establishes
mechanisms to achieve reusable components.
Work product preparation and production —encompass the
activities required to create work products such as models,
documents, logs, forms, and lists.
20. Software Engineering Practice
The Essence of Practice:
1. Understand the problem (communication and analysis).
2. Plan a solution (modeling and software design).
3. Carry out the plan (code generation).
4. Examine the result for accuracy (testing and quality assurance).
21. SOFTWARE DEVELOPMENT MYTHS
Software development myths—erroneous beliefs about software
and the process that is used to build it—can be traced to the
earliest days of computing.
myths for what they are—misleading attitudes that have caused
serious problems for managers and practitioners alike.
22. Management Myths
Myth: We already have a book that's full of standards and
procedures for building software. Won't that provide my people with
everything they need to know?
Reality: The book of standards may very well exist, but is it
used? Are software practitioners aware of its existence? Does it
reflect modern software engineering practice? Is it complete?
23. Myth: If we get behind schedule, we can add more programmers
and catch up (sometimes called the “Mongolian horde” concept).
Reality: Software development is not a mechanistic process like
manufacturing “adding people to a late software project makes it later
Myth: If I decide to outsource the software project to a third
party, I can just relax and let that firm build it.
Reality: If an organization does not understand how to manage
and control software projects internally, it will invariably struggle
when it outsources software projects
24. Customer myths
Myth: A general statement of objectives is sufficient to begin
writing programs—we can fill in the details later.
Reality: Although a comprehensive and stable statement of
requirements is not always possible, an ambiguous “statement of
objectives” is a recipe for disaster. Unambiguous requirements (usually
derived iteratively) are developed only through effective and
continuous communication between customer and developer.
Myth: Software requirements continually change, but change can
be easily accommodated because software is flexible.
Reality: It is true that software requirements change, but the
impact of change varies with the time at which it is introduced
25. Practitioner’s myths
Myth: Once we write the program and get it to work, our job is
done.
Reality: Someone once said that “the sooner you begin ‘writing
code,’ the longer it’ll take you to get done.”
Myth: Software engineering will make us create voluminous and
unnecessary documentation and will invariably slow us down.
Reality: Software engineering is not about creating documents. It
is about creating a quality product. Better quality leads to reduced
rework. And reduced rework results in faster delivery times.