”There is no single development, in either technology or in management technique, that by itself promises even one order of magnitude improvement in productivity, in reliability, in simplicity.”
This document discusses the nature of software. It defines software as a set of instructions that can be stored electronically. Software engineering encompasses processes and methods to build high quality computer software. Software has a dual role as both a product and a vehicle to deliver products. Characteristics of software include being engineered rather than manufactured, and not wearing out over time like hardware. Software application domains include system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. The document also discusses challenges like open-world computing and legacy software.
The document discusses problem solving using computers. It explains that programming languages allow problems to be solved repeatedly by telling the computer the logic or algorithm to follow. An algorithm is a series of steps, like pseudocode or a flowchart, that represent the procedure for solving a problem. It then provides examples of algorithms for calculating the factorial of a number in different formats, including English steps, flowcharts, and pseudocode. Programming implements the algorithm by translating it line-by-line into source code.
There is no single methodology or approach that can be universally applied to solve all software problems. While past advances like high-level programming languages and time-sharing helped address accidental difficulties, the essential challenges of software development remain. These include complexity, the need for conformity, frequent changes, and the invisible nature of software. Future hopes include improved programming languages, object-oriented programming, artificial intelligence, and iterative development approaches. However, the author argues the fundamental difficulties inherent in software's conceptual nature and complex, changeable requirements cannot be fully solved by any single "silver bullet."
The document discusses the origins and drivers of software engineering as a discipline. It arose in response to frequent software project failures in the late 1960s, termed the "software crisis". Key points:
- Software engineering aims to apply systematic and quantifiable principles to software development and maintenance to improve quality, productivity and job satisfaction.
- It draws on computer science, management science, economics and other fields. Processes and models help manage complex software projects.
- Early process models included waterfall and prototyping. Later agile models like spiral emphasize iterative development and risk management over rigid phases.
This document discusses different types of software and how to get software onto a computer. It explains that there are two main types of software: system software and application software. System software includes the operating system and basic utilities, while application software performs more specialized tasks like word processing. The document also discusses how software can be installed from disks or downloaded, and provides examples of useful software programs like Quicken, Picasa, and Evernote.
No silver bullet essence and accidents of software engineeringArun Banotra
The document outlines Frederick Brooks' argument that there is no "silver bullet" that can solve all of software engineering's problems. It discusses the differences between essential difficulties, which are inherent to software due to its complexity, need for conformity, changeability, and invisibility, and accidental difficulties caused by current production methods. While breakthroughs have solved some accidental difficulties, like high-level programming languages, Brooks argues one breakthrough alone cannot provide an order-of-magnitude improvement due to software's essential properties.
The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
1. The document introduces computer programming and discusses its importance in modern society. It touches on how computers have evolved to become indispensable tools that help solve problems across many domains.
2. It outlines the typical steps involved in programming: problem analysis, algorithm development, coding, testing and debugging. Key aspects like problem definition, input/output determination, and logical processing of data are important parts of problem analysis.
3. The document emphasizes that programming requires both logic and creativity to develop well-designed solutions. Proper documentation is also important for program maintenance and future modifications.
This document discusses the nature of software. It defines software as a set of instructions that can be stored electronically. Software engineering encompasses processes and methods to build high quality computer software. Software has a dual role as both a product and a vehicle to deliver products. Characteristics of software include being engineered rather than manufactured, and not wearing out over time like hardware. Software application domains include system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. The document also discusses challenges like open-world computing and legacy software.
The document discusses problem solving using computers. It explains that programming languages allow problems to be solved repeatedly by telling the computer the logic or algorithm to follow. An algorithm is a series of steps, like pseudocode or a flowchart, that represent the procedure for solving a problem. It then provides examples of algorithms for calculating the factorial of a number in different formats, including English steps, flowcharts, and pseudocode. Programming implements the algorithm by translating it line-by-line into source code.
There is no single methodology or approach that can be universally applied to solve all software problems. While past advances like high-level programming languages and time-sharing helped address accidental difficulties, the essential challenges of software development remain. These include complexity, the need for conformity, frequent changes, and the invisible nature of software. Future hopes include improved programming languages, object-oriented programming, artificial intelligence, and iterative development approaches. However, the author argues the fundamental difficulties inherent in software's conceptual nature and complex, changeable requirements cannot be fully solved by any single "silver bullet."
The document discusses the origins and drivers of software engineering as a discipline. It arose in response to frequent software project failures in the late 1960s, termed the "software crisis". Key points:
- Software engineering aims to apply systematic and quantifiable principles to software development and maintenance to improve quality, productivity and job satisfaction.
- It draws on computer science, management science, economics and other fields. Processes and models help manage complex software projects.
- Early process models included waterfall and prototyping. Later agile models like spiral emphasize iterative development and risk management over rigid phases.
This document discusses different types of software and how to get software onto a computer. It explains that there are two main types of software: system software and application software. System software includes the operating system and basic utilities, while application software performs more specialized tasks like word processing. The document also discusses how software can be installed from disks or downloaded, and provides examples of useful software programs like Quicken, Picasa, and Evernote.
No silver bullet essence and accidents of software engineeringArun Banotra
The document outlines Frederick Brooks' argument that there is no "silver bullet" that can solve all of software engineering's problems. It discusses the differences between essential difficulties, which are inherent to software due to its complexity, need for conformity, changeability, and invisibility, and accidental difficulties caused by current production methods. While breakthroughs have solved some accidental difficulties, like high-level programming languages, Brooks argues one breakthrough alone cannot provide an order-of-magnitude improvement due to software's essential properties.
The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
1. The document introduces computer programming and discusses its importance in modern society. It touches on how computers have evolved to become indispensable tools that help solve problems across many domains.
2. It outlines the typical steps involved in programming: problem analysis, algorithm development, coding, testing and debugging. Key aspects like problem definition, input/output determination, and logical processing of data are important parts of problem analysis.
3. The document emphasizes that programming requires both logic and creativity to develop well-designed solutions. Proper documentation is also important for program maintenance and future modifications.
Machine language uses binary to directly instruct the computer but is tedious for programmers. Assembly language replaces machine code with mnemonics like ADD and SUB making it easier. High-level languages are the easiest for programmers being English-like but require compilation to machine code, making them slower than low-level languages.
The document discusses requirements analysis and specification in software engineering. It defines what requirements are and explains the typical activities involved - requirements gathering, analysis, and specification. The importance of documenting requirements in a Software Requirements Specification (SRS) document is explained. Key sections of an SRS like stakeholders, types of requirements (functional and non-functional), and examples are covered. Special attention is given to requirements for critical systems and importance of non-functional requirements.
System software consists of several programs that directly control, integrate and manage the individual hardware components of a computer system. These include operating systems, device drivers, middleware, utility software and shells/windowing systems. System software provides an interface between the user and computer components and insulates applications programmers from hardware details. Application software includes programs designed for end users, such as word processors, database programs and spreadsheets. It resides above system software.
The document provides an introduction to software engineering. It discusses that software has a dual role as both a product and vehicle to deliver functionality. It defines software as a set of programs, documents, and data that form a configuration. The document outlines different types of software applications and categories. It also discusses software engineering practices such as communication, planning, modeling, construction, and coding principles.
Introduction to Software Engineering & Information TechnologyGaditek
For Introduction to Software Engineering & Information Technology this slide will guide you many things about Introduction to Software Engineering & Information Technology.
The document discusses computer programming fundamentals. It explains that computers are "dumb" machines that need step-by-step instructions to perform tasks, and that programming involves providing these instructions through computer programs. It describes how early programs had to be written in binary machine language, which was difficult for humans, leading to the development of assembly language and high-level languages that are easier for people to use. These higher-level languages are converted into machine-readable format through assemblers and compilers.
Software Engineering (Introduction to Software Engineering)ShudipPal
Software engineering is concerned with all aspects of software production. It aims to develop software using systematic and disciplined approaches to reduce errors and costs. Some key challenges in software development are its high cost, difficulty delivering on time, and producing low quality software. Software engineering methods strive to address these challenges and produce software with attributes like maintainability, dependability, efficiency, usability and acceptability.
List of Software Development Model and MethodsRiant Soft
RiantSoft a Software Development Company derived the most useful and different types of Software Development Model for the users who want to know the development process. RiantSoft is specialized in custom software development with latest cutting edge technologies.
This document provides an introduction to basic computer programming concepts including:
- Programs are sets of step-by-step instructions that direct a computer to perform tasks and produce outputs. Programming languages provide rules and instructions for computers.
- The programming process involves identifying problems, planning solutions with flowcharts or pseudocode, coding the program, testing it, and documenting it.
- There are different levels of programming languages from low-level machine languages to high-level languages like Visual Basic that resemble English. Procedural languages use sequential statements while object-oriented languages are event-driven.
- Basic commands in QBasic are introduced like PRINT, CLS, INPUT, IF/THEN/ELSE
This document discusses various approaches to software reuse, including design patterns, application frameworks, component-based development, and generative programming. Design patterns describe abstract solutions to common problems in a reusable form. Application frameworks provide reusable abstract and concrete classes that can be adapted and extended to create application systems. Conceptual reuse through design patterns and generative programming allows reuse of ideas rather than just code.
Software is a set of instructions to acquire inputs and to manipulate them to produce the desired output in terms of functions and performance as determined by the user of the software
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
The document discusses several common software development myths. It is written by a group of 7 software engineers. The myths discussed include: 1) that clients know exactly what they want, 2) that requirements are fixed, 3) that quality can't be assessed until a program is running, 4) that adding more people fixes schedule slips, 5) that security is only a cryptography problem, 6) that a tester's only task is to find bugs, 7) that testing can't begin until development is fully complete, and 8) that network defenses alone can provide protection. The document aims to dispel these myths and provide more accurate perspectives.
The 4+1 view model was designed by Philippe Kruchten as a framework for describing the architecture of software systems using multiple views. It defines four primary views - logical, development, process, and physical - as well as a supplementary scenarios or use cases view. Each view represents a different stakeholder perspective and allows separation of architectural concerns through the use of modeling diagrams like UML.
The document discusses software requirements and requirements engineering. It introduces concepts like user requirements, system requirements, functional requirements, and non-functional requirements. It explains how requirements can be organized in a requirements document and the different types of stakeholders who read requirements. The document also discusses challenges in writing requirements precisely and provides examples of requirements specification for a library system called LIBSYS.
The document discusses the software development life cycle (SDLC) process. It includes 6 main steps: 1) requirement gathering, 2) software analysis, 3) software design, 4) coding, 5) testing, and 6) implementation. For each step, the document provides details on the objectives and activities involved. It also lists advantages of following the SDLC process such as increased quality, improved tracking, and decreased risks. Finally, it provides a coding example for a basic calculator application to illustrate one step of the process.
The document discusses software process models. It describes the waterfall model, which is a generic process framework for software engineering that defines five framework activities: communication, planning, modeling, construction, and deployment. It also discusses umbrella activities that are applied throughout the process, such as project tracking and control. The waterfall model prescribes distinct activities, actions, tasks, milestones, and work products for software development. However, process models need to be adapted to meet the needs of specific projects.
Machine language uses binary to directly instruct the computer but is tedious for programmers. Assembly language replaces machine code with mnemonics like ADD and SUB making it easier. High-level languages are the easiest for programmers being English-like but require compilation to machine code, making them slower than low-level languages.
The document discusses requirements analysis and specification in software engineering. It defines what requirements are and explains the typical activities involved - requirements gathering, analysis, and specification. The importance of documenting requirements in a Software Requirements Specification (SRS) document is explained. Key sections of an SRS like stakeholders, types of requirements (functional and non-functional), and examples are covered. Special attention is given to requirements for critical systems and importance of non-functional requirements.
System software consists of several programs that directly control, integrate and manage the individual hardware components of a computer system. These include operating systems, device drivers, middleware, utility software and shells/windowing systems. System software provides an interface between the user and computer components and insulates applications programmers from hardware details. Application software includes programs designed for end users, such as word processors, database programs and spreadsheets. It resides above system software.
The document provides an introduction to software engineering. It discusses that software has a dual role as both a product and vehicle to deliver functionality. It defines software as a set of programs, documents, and data that form a configuration. The document outlines different types of software applications and categories. It also discusses software engineering practices such as communication, planning, modeling, construction, and coding principles.
Introduction to Software Engineering & Information TechnologyGaditek
For Introduction to Software Engineering & Information Technology this slide will guide you many things about Introduction to Software Engineering & Information Technology.
The document discusses computer programming fundamentals. It explains that computers are "dumb" machines that need step-by-step instructions to perform tasks, and that programming involves providing these instructions through computer programs. It describes how early programs had to be written in binary machine language, which was difficult for humans, leading to the development of assembly language and high-level languages that are easier for people to use. These higher-level languages are converted into machine-readable format through assemblers and compilers.
Software Engineering (Introduction to Software Engineering)ShudipPal
Software engineering is concerned with all aspects of software production. It aims to develop software using systematic and disciplined approaches to reduce errors and costs. Some key challenges in software development are its high cost, difficulty delivering on time, and producing low quality software. Software engineering methods strive to address these challenges and produce software with attributes like maintainability, dependability, efficiency, usability and acceptability.
List of Software Development Model and MethodsRiant Soft
RiantSoft a Software Development Company derived the most useful and different types of Software Development Model for the users who want to know the development process. RiantSoft is specialized in custom software development with latest cutting edge technologies.
This document provides an introduction to basic computer programming concepts including:
- Programs are sets of step-by-step instructions that direct a computer to perform tasks and produce outputs. Programming languages provide rules and instructions for computers.
- The programming process involves identifying problems, planning solutions with flowcharts or pseudocode, coding the program, testing it, and documenting it.
- There are different levels of programming languages from low-level machine languages to high-level languages like Visual Basic that resemble English. Procedural languages use sequential statements while object-oriented languages are event-driven.
- Basic commands in QBasic are introduced like PRINT, CLS, INPUT, IF/THEN/ELSE
This document discusses various approaches to software reuse, including design patterns, application frameworks, component-based development, and generative programming. Design patterns describe abstract solutions to common problems in a reusable form. Application frameworks provide reusable abstract and concrete classes that can be adapted and extended to create application systems. Conceptual reuse through design patterns and generative programming allows reuse of ideas rather than just code.
Software is a set of instructions to acquire inputs and to manipulate them to produce the desired output in terms of functions and performance as determined by the user of the software
The document provides an introduction to software engineering and discusses key concepts such as:
1) Software is defined as a set of instructions that provide desired features, functions, and performance when executed and includes programs, data, and documentation.
2) Software engineering applies scientific knowledge and engineering principles to the development of reliable and efficient software within time and budget constraints.
3) The software development life cycle (SDLC) involves analysis, design, implementation, and documentation phases to systematically develop high quality software that meets requirements.
The document discusses several common software development myths. It is written by a group of 7 software engineers. The myths discussed include: 1) that clients know exactly what they want, 2) that requirements are fixed, 3) that quality can't be assessed until a program is running, 4) that adding more people fixes schedule slips, 5) that security is only a cryptography problem, 6) that a tester's only task is to find bugs, 7) that testing can't begin until development is fully complete, and 8) that network defenses alone can provide protection. The document aims to dispel these myths and provide more accurate perspectives.
The 4+1 view model was designed by Philippe Kruchten as a framework for describing the architecture of software systems using multiple views. It defines four primary views - logical, development, process, and physical - as well as a supplementary scenarios or use cases view. Each view represents a different stakeholder perspective and allows separation of architectural concerns through the use of modeling diagrams like UML.
The document discusses software requirements and requirements engineering. It introduces concepts like user requirements, system requirements, functional requirements, and non-functional requirements. It explains how requirements can be organized in a requirements document and the different types of stakeholders who read requirements. The document also discusses challenges in writing requirements precisely and provides examples of requirements specification for a library system called LIBSYS.
The document discusses the software development life cycle (SDLC) process. It includes 6 main steps: 1) requirement gathering, 2) software analysis, 3) software design, 4) coding, 5) testing, and 6) implementation. For each step, the document provides details on the objectives and activities involved. It also lists advantages of following the SDLC process such as increased quality, improved tracking, and decreased risks. Finally, it provides a coding example for a basic calculator application to illustrate one step of the process.
The document discusses software process models. It describes the waterfall model, which is a generic process framework for software engineering that defines five framework activities: communication, planning, modeling, construction, and deployment. It also discusses umbrella activities that are applied throughout the process, such as project tracking and control. The waterfall model prescribes distinct activities, actions, tasks, milestones, and work products for software development. However, process models need to be adapted to meet the needs of specific projects.
The document provides an introduction to software engineering topics including the evolving role of software, differences between hardware and software, software characteristics, types of software, and common software myths. It discusses how software is developed rather than manufactured, can be modified more easily than hardware, and focuses costs on design rather than production. The document also summarizes different types of software including system software, application software, engineering software, and more and how they have changed over time. Finally, it debunks some common myths among managers, customers, and software practitioners.
Program versus Software, Software Characteristics, S/W Failure rate, Evolution Pattern, Types of Software, Stakeholders in Software Engineering, Software Quality, Software Crisis, Software Engineering: A Layered Technology, Evolution of Design Techniques, Exploratory style of S/W Development
This document provides an overview of key concepts in software and software engineering from Pressman's Software Engineering: A Practitioner's Approach textbook. It discusses the dual role of software as both a product and vehicle, common questions about software development that have not changed, differences between software and hardware, the changing nature of software types, challenges with legacy software, and common software myths among management, customers, and practitioners.
The document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and characteristics that make it different than other engineered products. The document also outlines some common software applications and categories. It defines the key activities in a generic software process including communication, planning, modeling, construction, and deployment. Finally, it provides examples of two case studies - an embedded system in an insulin pump and a patient information system for mental health care.
This document provides an overview of advance software engineering concepts. It discusses recommended books on software engineering and common software engineering activities like systems analysis and design. It also discusses key software engineering challenges like increasing diversity and demands for reduced delivery times. Different software development lifecycles are covered, including the waterfall model. Frequently asked questions about software engineering concepts are also answered. Agile software development practices like daily stand-ups, iteration planning, and test-driven development are explained.
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.
The document provides an overview of software engineering concepts including definitions of software, characteristics of good software, and the software engineering process. It discusses that software engineering aims to apply systematic and disciplined approaches to software development and maintenance to economically produce reliable and efficient software. The document also outlines key activities in a generic software process framework including communication, planning, modeling, construction, and deployment.
The document provides an overview of software engineering concepts. It defines software and its key characteristics, such as being developed rather than manufactured. It discusses different types of software applications and attributes of good software like maintainability and dependability. The document also outlines the activities in a generic software process, including communication, planning, modeling, construction, and deployment. It emphasizes that the process should be adapted to each project's specific needs.
The document discusses several key aspects of software and software engineering:
1. Software serves both as a product that transforms information and as a vehicle that delivers computing capabilities. It controls programs, enables communications, and helps build other software.
2. Software is more complex and difficult to develop than hardware but easier to modify and upgrade. Software costs are concentrated in design rather than production.
3. Software evolves and deteriorates over time unlike hardware, which wears out. Most software continues to be custom built despite a slow trend toward component-based construction. Maintaining and evolving legacy software poses challenges.
4. The document outlines several "laws" and myths regarding software evolution, management, customers, and practitioners
The document discusses several key aspects of software and software engineering:
1. Software serves both as a product that transforms information and as a vehicle that delivers computing capabilities. It controls programs, enables communications, and helps build other software.
2. Software is more complex and difficult to develop than hardware but easier to modify and upgrade. Software costs are concentrated in design rather than production.
3. Software evolves and deteriorates over time unlike hardware, which wears out. Most software continues to be custom built despite a slow trend toward component-based construction. Maintaining and evolving legacy software poses challenges.
4. The document outlines several "laws" and myths regarding software evolution, management, customers, and practitioners
Deep Dive into the Idea of Software ArchitectureMatthew Clarke
This talk was an experiment in combining a number of ideas I'd been learning and thinking about into a coherent presentation, that would hopefully be useful. The was to give a solid grounding to the idea of software architecture, including taking a critical look at what it is and if it really matters. It then moves into the topics of boundaries and abstractions, horizontal and vertical layers, cross-cutting concerns, "Clean Architecture" and the Dependency Rule it rests upon. It was presented internally at Genesis Energy in September 2018.
This document provides an overview of key concepts in the field of software engineering. It defines software engineering as the application of systematic and disciplined approaches to software development, operation, and maintenance. The document discusses the importance of software engineering in producing reliable and economical software. It also summarizes essential attributes of good software such as maintainability, dependability, efficiency, and acceptability. Additionally, the document outlines a generic software engineering process framework involving activities like communication, planning, modeling, construction, and deployment. It notes that the process should be adapted to the specific project.
[2015/2016] Software systems engineering PRINCIPLESIvano Malavolta
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
This document provides an overview of software and software engineering. It defines software, discusses why software is important to modern economies, and outlines some key characteristics of software such as its non-physical nature and tendency to deteriorate over time rather than wear out. The document also introduces common software applications, categories, and costs. Finally, it discusses the importance of software engineering in developing reliable, high-quality software economically.
This document provides an introduction to software engineering. It discusses the importance of software today and how it has evolved significantly since the Apollo 11 moon landing. Some key characteristics of good software discussed include maintainability, correctness, reusability, reliability, and portability. The document also examines the software crisis and reasons it occurred, such as requirements constantly changing and not enough developers. Different paradigms for software development are presented, including waterfall model and agile development. Finally, the document introduces computer-aided software engineering (CASE) tools and how they can benefit the software development process.
Similar to No Silver Bullet - Essence and Accidents of Software Engineering (20)
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
Vector databases are transforming how we handle data, allowing us to search through text, images, and audio by converting them into vectors. Today, we'll dive into the basics of this exciting technology and discuss its potential to revolutionize our next-generation AI applications. We'll examine typical uses for these databases and the essential tools
developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
No Silver Bullet - Essence and Accidents of Software Engineering
1. NO SILVER BULLETS
ESSENSE AND ACCIDENTS OF SOFTWARE ENGINEERING
- Fredrick P. Brooks, Jr.
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2. ”There is no single development, in either technology or in management
technique, that by itself promises even one order of magnitude
improvement in productivity, in reliability, in simplicity.”
monster of missed
schedules, blown
budgets, and
flawed products
Kill werewolves (folklore)
(software
development)
We hear desperate cries for something to make software costs drop as rapidly as computer hardware costs do.
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3. - Comparison between software and hardware advancement.
- Innovations in the software can yield an "order-of-magnitude" improvement.
- Example given in medicine where doctors where taught the benefits of cleanliness improving health of patients
- In the same way improving processes in software can help improve software step by step.
- A disciplined, consistent effort to develop, propagate, and exploit these innovations should indeed yield an
order-of-magnitude improvement.
INTRODUCTION
“The anomaly is not that software progress is so slow, but
that computer hardware progress is so fast”
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4. ESSENTIAL AND ACCIDENTAL DIFFICULTIES
Essential difficulties, those inherent in software; and Accidental difficulties, where we make things harder for
ourselves than we need to, but that are not inherent to the process.
Essential Difficulties:
- What a software does
- Characteristic of software
- Construct of interlocking concepts
- Data sets, relationship among them, algorithm, and function invocation.
- Inherent properties of modern software :
- Complexity,
- Conformity,
- Changeability,
- Invisibility
Accidental Difficulties:
- Issues related when working with the development of software.
- Can be overcome and increase productivity.
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5. “ I believe the hard part of building software to be the
specification, design, and testing of this conceptual construct,
not the labor of representing it and testing the fidelity of the
representation. ” – Fredrick Brooks.
Brooks argues that syntax errors are bound to happen by even any perfect programmer; but these errors are not a
big deal as compared to the conceptual errors. If this is true, then building software will always be hard, and there is
inherently no silver bullet.
Inherent properties in Modern Software:
- Complexity
- Conformity
- Changeability
- Invisibility
These properties, not being accidental, representing software in various forms do not affect them.
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6. Sources of Essential Difficulties
Complexity:
- Software entities are more complex than we can think.
- No two parts are same.
- Number of possible states grows much faster than lines of code.
- They interact with each other in non-linear fashion.
- The complexity as a whole increase much more than linearly.
“The complexity of software is an essential property, not an accidental one.”
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7. Technical Problems Management Problems
• Communication among team members.
o Product flaws, cost overruns, schedule delays.
• Complexity in understanding (and enumerating) all
possible states.
o This drives unreliability.
• Programs hard to use due to the difficulty of invoking
function.
• Harder to extend newer functionality and
consequently introducing side effects.
• Security of a software system more difficult to
understand.
• Project overview is difficult
o conceptual integrity is hard to achieve
• Communication overhead
o cost overruns and schedule delays
• Huge number of states are not reliable
o hard to find and control all loose ends
• Understanding burden and tremendous learning curve
• Poor usability and poor maintainability of complex
functions and structure.
Issues formed due to complexity:
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8. Conformity:
“much of the complexity that he(software engineer) must master is
arbitrary complexity, forced without rhyme or reason by the many human
institutions and systems to which his interfaces must conform.”
• Unlike physics no unifying principles, must connect with existing systems.
• Example of VP changing business process.
• Software must conform with respect to its operating systems and hardware.
• Often called as ”Last kid on the block”
• We do not need to change the entire system to by arrival of new software.
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9. Changeability:
• Software are always under pressure for change.
• So are buildings, cars, and computers.
• Software EQUALS functionality.
• Clients don’t know how much work is required
• Two processes are at work when software changes.
• First, Extending basic functions
• Second, must be compatible with new vehicle.
• Software is easy to change, but hardware isn’t .
• Hardware change:
Once an Intel processor goes to the production line, the replacement cost is extremely high.
Example: Pentium FDIV bug, return incorrect binary floating-point results when dividing a number, had
replacement cost of $475 million.
• Software change:
Example:
If a Microsoft software tool has a bug, the replacement cost is negligible. Only needs few minutes to
redownload, or to update the software.
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10. • Sounds like finally there is some advantage software has over hardware.
• But the effect of changeability is that software is always under pressure for change.
• Software changes frequently; for new feature or to support new hardware.
• Complexity becomes harder to follow.
• People underestimate the effects of changeability in software systems.
• Conformity and Changeability are among the reasons to why reusability is not successful in
software systems.
• As components keeps changing, changeability and conformity makes it hard to develop
component-based software.
“A software product is embedded in a cultural matrix of
applications, users, laws, and hardware – all of which
change continually and force changes upon the software.”
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11. Invisibility:
“Software is invisible and cannot be visualized”
• Software has no 3D way which can help get a bird’s view on the software project.
• Represent the flow of control, the flow of data, patterns of dependency, time sequence, name-space
relationships.
• Everyone has different view about the software; communication becomes difficult.
• No easy way of representation
• No common geometrical shapes
• Build a piece of software without having a clear idea of how the final product would look or perform.
• Code is invisible; the structure is hidden and complex
• Structure do have one common graphs or diagrams, it has multiple.
• Only available is input and expected output.
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12. Invisibility and Visualization tools:
• Visualization tools for computer aided designs are helpful to
computer engineers.
• Such tools helps to show the layout of the circuit (having a 2D
shape), makes it easy to design a chip.
• Although visualization tools for software are not very helpful.
• For that there is no physical representation, nothing to ‘see’
• No physical distance to measure and build for a software.
Silicon chips have diagrams
Buildings have floor plans
Lands have maps
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13. Past Breakthrough Solved Accidental Difficulties:
The three steps in software technology development that have been most fruitful in the past,
I. High Level Language
II. Time Sharing
III. Integrated Programming Environment (libraries, unified file formats, pipes and filters, etc.)
“We discover that each attacked a different major difficulty in building software, but that those difficulties
have been accidental, not essential, difficulties.”
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14. High Level Language:
• The most powerful thing happened in the history of software
development.
• It frees a program from much of its accidental complexity.
• Provides abstract program consisting types of data structures,
operations, data types, etc.,
• Makes learning of a programming language easy and write
‘hello world’ program without any struggle.
• Powerful stroke for software productivity, reliability and
simplicity.
• Removed the low-level complexities
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15. Time- Sharing:
• Time-sharing preserves the quality of sense of urgency,
• Helps in maintain the overview of complexity.
• Increased productivity of programmers.
• program logic in context because of reduced compilation and execution.
• Programs runs faster due to ability of high-level language
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16. Unified programming environments:
• Unix and Interlisp improved software productivity by
integral factors.
• Provided integrated libraries, unified file formats, and
pipes and filters, which helped use individual programs
together.
• Development of whole tool benches.
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17. Is there any hope for Silver Bullet? Yes.. there is ‘hope’.
“A disciplined, consistent effort to develop, propagate, and exploit these innovations should
indeed yield an order of magnitude improvement.”
“There is no royal road, but there is a road.”
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18. Hopes for the silver bullet:
1. ADA and other programming language
• It is the philosophy of modularization, of abstract data types, of hierarchical structuring.
2. OOP
• Abstract data type
• Object’s structure must be hidden, object’s data types must be defined by its name, set of proper values
and operations.
• Hierarchical types
• Define variables or objects based on their purpose in program
• Such advances can do no more than to remove all the accidental difficulties from the expression of the design.
Helps in design, but do not solve problem of design complexity.
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19. 3. Artificial Intelligence:
Two quite different definitions of AI
AI-1: The use of computers to solve problems that previously could only be solved by applying human
intelligence.
Al-2: The use of a specific set of programming techniques known as heuristic or rule-based programming.
Once a person understand a problem and working, most of the work becomes problem specific. Only thing
remains is to share it. Hence, it longer remains a unique technology or AI.
4. Expert Systems
• Program contains generalized inference and rule base, take inputs and assumptions, explores the guesswork
derived from the rule base, yields conclusion and advice and offers an explanation to its result.
• The inference engines typically can deal with fuzzy or probabilistic data and rules, in addition to purely
deterministic logic.
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20. Advantages of Expert Systems over programmed systems:
1. Application independence and varied use.
2. Rule sets can encode universal ideas that can be applied to different applications, thereby distributing
complexity.
How can this technology be applied to the software-engineering task?
• Systems can suggest interface rules,
• advise on testing strategies,
• remember bug-type frequencies,
• and offer optimization hints.
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21. 5. Automatic Programming
Parnas [4] implies that the term is used for glamour, not for semantic content, asserting,
“In short, automatic programming has always been a euphemism for programming with a higher-level
language than was presently available to the programmer.”
• He argues, that in most cases it is the solution method, not the problem, whose specification must be given.
• Used successfully for specific tasks. (integrating differential equations)
6. Graphical Programming:
• The theorist used to justify the approach by considering flowcharts as the ideal program-design medium.
• The flowchart to be very poor abstraction of software structure.
• Useless design tool used by programmers since it is used after writing programs, not before.
• A software system cannot be visualized in the same way that hardware systems can.
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22. 7. Program Verification:
• Program verification is a very powerful concept, unfortunately there is no magic here.
• Verification might reduce the program-testing load, it cannot eliminate it.
• Even perfect program verification can only establish that a program meets its specification, which itself is a
hardest part of getting a complete and consistent specification.
8. Environment and Tools:
• Language-specific smart editors is freedom from syntactic errors and simple semantic errors.
• The biggest gain was the use of integrated database systems.
• Where myriad details would be tracked and recalled by the individual programmer or any group of
collaborators.
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23. 9. Workstations:
• Increase in power and memory size of workstations would not guarantee increase in programmer’s
developing speed.
• Even with a factor of 10 speed in machines will still leave thinking time to the programmers.
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24. Promising attacks on the Conceptual Essence:
Brooks gives us the productivity formula which as believed by him is that the conceptual components of the
software development task takes most of the time.
For that Brooks offers us three recommendations that consider attacks that address the essence of the software
problem, still speak to us today:
• Reuse
o Buy vs Build
• Incremental development,
o Requirement refinement and rapid prototyping
• Investing in your software developers.
o Great designers.
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25. 1. Buy vs. Build
• It is cheaper to buy production ready software than try to write homegrown software.
• Software is immediately available.
• Buy software and distribute among developers as there is no replication fee.
2. Incremental development
• Grow software systems, not to build them.
• Easy backtracking
• Rapid prototyping
• Iterative extraction and requirement refinement.
• Prototypes typically perform the mainline tasks of the application
• Client can test it for consistency and usability and ask for the needed refinement of the requirements.
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26. 3. Great Designers:
• We can get good designs by following good practices instead of poor ones.
• Good design practices can be taught.
• Programmers being the intelligent part of the population, can learn good designs.
• Brook argues that great design minds (meaning individuals) can accomplish more than a committee of
designers.
• Useful software systems have been designed by committees and built as part of multipart projects, like
Cobol, PL/I, Algol, MVS/370, and MS-DOS.
• But the products made by one or a few designers are truly passionate fans of software systems, for example,
Unix, APL, Pascal, Modula, the Smalltalk interface, even Fortran.
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27. Ways to deal with the essential difficulties:
• Complexity –
o Breakdown the system into module which can managed.
o Breakdown the development process into phases, tasks, and
subtasks.
o Pair programming, or team programming
• Conformity and Changeability –
o Change the management system with planning
o Configure the management
• Invisibility –
o Use different models to gain a different perspective on the
system
o Discuss the viewpoints
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28. Conclusion:
• No single advancement can guarantee 10x improvement.
• Although all the accidental difficulties can be solved.
• Even if all the accidental difficulties are removes, coping up the
essence of software development remains challenging.
• Dealing with ever-changing requirements is the real problem of the
software engineering.
• No tool, method, model or artifact available till date has succeeded in
overcoming this problem.
• Hope persist for silver bullet for solving software related problems
and therefore, the betterment of the later issues.
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