The document discusses the top 10 factors that have been proven to affect software reliability based on analysis of data from over 150 software projects. The top factors are: 1) Avoiding large code releases and teams to reduce complexity; 2) Mandatory developer testing; 3) Techniques that improve requirements and design visualization; 4) Identifying and testing unexpected behavior; 5) Involving domain experts; 6) Following full development processes; 7) Defect reduction techniques; 8) Tailored process improvement; 9) Configuration and change management; 10) Improved testing techniques rather than longer testing. The analysis is based on benchmarking over 500 development factors against actual defect data from various projects.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
The document discusses Ann Marie Neufelder's background and expertise in software reliability. It then lists the top 10 factors actually associated with unreliable software based on benchmarking 679 development factors against actual defect data from 149 software projects. The factors focus on avoiding large releases and teams, mandatory developer testing, techniques that aid requirements and defect analysis, understanding end users, and avoiding skipped processes. The document provides context on the benchmarking methodology used to determine the top factors.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
Ann Marie Neufelder has benchmarked over 150 software organizations and 523 development factors against actual defect data from 79 projects to determine the key factors that influence software reliability. The top factors associated with more defects include large projects, short term contractors without domain expertise, and a "throw over the wall" testing approach. All failed projects in the database started late and had more than three new elements like hardware, tools, processes or people. The findings were used to develop a model to predict defect density before coding begins.
If you have enough data, you can predict anything. Even software failures can be predicted. How many software defects there are in a program is very predictable if you know how big it is, the practices and tools used to develop it, the domain experience of the software engineers developing it, the process and the inherent risks. There are certain development factors that indicate a successful software release. There are also certain factors that indicate a distressed software release.
Contrary to popular myth, a good development process is necessary but not sufficient. The best processes will not compensate for people who don't have industry experience or specifications that aren't written well or not enough people testing the software.
The facts show that processes are what separate the distressed from the mediocre. However, in our 30 years of data, processes did not distinguish between the successful and the mediocre. In other words, process keeps the program from complete failure but it won't guarantee sucess. Many other things have to be in place for that.
Our data shows that the short engineering cycles, frequent releases and "aiming small and missing small" is one of the most important factors.
Our data also shows that having people who understand the product and industry is more important than having people who know every insignificant nuance of a programming language.
Our data also shows that the reliability hinges on the quality of the specifications and design as opposed to how many pages are in the specifications.
Not only can the total volume of defects be accurately predicted, but when the defects will become manifested into failures can also be predicted.
It's been known for decades that what goes up eventually comes back down. When you add new features - the defects go up. When you test and remove them they go down. There is absolutely no rocket science involved with defect trending.
The types of defects are also very predictable as they directly link to the weakest part of development. For example - if you have a system that is stateful and you don't sufficiently design the state management - guess what? You will have a lot of state related defects. Similarly if you have a system with timing constraints and you don't sufficiently analyze the timing - guess what? You will have timing related defects.
The percentage of failures in a system that are due to software versus hardware is also very predictable. There is a simple rule of thumb. The amount of software continues to grow exponentially every year while hardware is slowly being replaced by software. So, if you know that last year your product had 60% hardware failures and 40% software failures that means that this year it will be no less than 40% and probably 10-12% more than that.
This page covers very simple methods for predicting the software failures before the code is even written.
Here is an example operations list for a medical enteral pump system:
1. Power on pump
2. Navigate main menu
1. Set patient details
2. Set feeding program
1. Select feeding mode (continuous, intermittent)
2. Set feeding rate
3. Set feeding duration
3. Start/stop feeding
4. View feeding history
5. Adjust alarm settings
3. Acknowledge/silence alarms
4. Power off pump
This list was developed by walking through the menu structure and identifying the key operations a user could perform with the pump system. The numbering indicates sub-operations under main operations.
Here are some potential issues with the specification and assumptions:
1. The specification does not define the format, structure or content of the log files. This could lead to logs that are not readable, searchable or don't contain necessary information.
2. There are no requirements for log file rollover or management. This could lead to logs filling storage and stopping additional logging.
3. Requirements for logging in the event of failures are missing. Logging may stop working if the system fails.
4. No requirements for log security, integrity or backup. Logs could be modified or deleted accidentally or maliciously.
5. Timing requirements are missing. Important events may not be captured if they occur close to
The IEEE 1633 provides practical guidance for developing reliable software and making key decisions that include reliability. There are qualitative and quantitative tasks starting from the beginning of the program until deployment. These methods are applicable for agile and incremental development environments. In fact, they work better in an agile environment. This document has practical step by step instructions for how to identify failure modes and root cause, identify risks that are often overlooked, predict defects before the code is even written, plan staffing levels for testing and support, evaluate reliability during testing, and make a release decision. Examples of the techniques are provided. This document was written by people who have real world experience in making software more reliable while still on time and within budget. It covers software failure modes effects analysis, software fault trees, software defect root cause analysis, reliability predictions, defect density predictions, software reliability benchmarking, software reliability growth estimation, developing a reliability driven test suite, allocating reliability to software, evaluating the portion of the total system failures that will be caused by the software, and managing software for reliability. The working group is chaired by Ann Marie Neufelder who is the global leader in reliable software. The document will be updated in 2023 for the Common Defect Enumeration and relationship with DevSecOps.
The document discusses issues with the conventional "waterfall" model of software development and proposes improvements. It analyzes that the waterfall model is risky and invites failure due to late testing exposing design flaws. It then provides 5 necessary improvements: 1) adding a design phase before analysis, 2) increased documentation, 3) developing the software in two iterations, 4) improved testing planning and 5) increased customer involvement. It also discusses common issues seen in practice with the waterfall model like protracted integration, late risk resolution, and adversarial stakeholder relationships due to a focus on documents over working software.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
The document discusses Ann Marie Neufelder's background and expertise in software reliability. It then lists the top 10 factors actually associated with unreliable software based on benchmarking 679 development factors against actual defect data from 149 software projects. The factors focus on avoiding large releases and teams, mandatory developer testing, techniques that aid requirements and defect analysis, understanding end users, and avoiding skipped processes. The document provides context on the benchmarking methodology used to determine the top factors.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
Ann Marie Neufelder has benchmarked over 150 software organizations and 523 development factors against actual defect data from 79 projects to determine the key factors that influence software reliability. The top factors associated with more defects include large projects, short term contractors without domain expertise, and a "throw over the wall" testing approach. All failed projects in the database started late and had more than three new elements like hardware, tools, processes or people. The findings were used to develop a model to predict defect density before coding begins.
If you have enough data, you can predict anything. Even software failures can be predicted. How many software defects there are in a program is very predictable if you know how big it is, the practices and tools used to develop it, the domain experience of the software engineers developing it, the process and the inherent risks. There are certain development factors that indicate a successful software release. There are also certain factors that indicate a distressed software release.
Contrary to popular myth, a good development process is necessary but not sufficient. The best processes will not compensate for people who don't have industry experience or specifications that aren't written well or not enough people testing the software.
The facts show that processes are what separate the distressed from the mediocre. However, in our 30 years of data, processes did not distinguish between the successful and the mediocre. In other words, process keeps the program from complete failure but it won't guarantee sucess. Many other things have to be in place for that.
Our data shows that the short engineering cycles, frequent releases and "aiming small and missing small" is one of the most important factors.
Our data also shows that having people who understand the product and industry is more important than having people who know every insignificant nuance of a programming language.
Our data also shows that the reliability hinges on the quality of the specifications and design as opposed to how many pages are in the specifications.
Not only can the total volume of defects be accurately predicted, but when the defects will become manifested into failures can also be predicted.
It's been known for decades that what goes up eventually comes back down. When you add new features - the defects go up. When you test and remove them they go down. There is absolutely no rocket science involved with defect trending.
The types of defects are also very predictable as they directly link to the weakest part of development. For example - if you have a system that is stateful and you don't sufficiently design the state management - guess what? You will have a lot of state related defects. Similarly if you have a system with timing constraints and you don't sufficiently analyze the timing - guess what? You will have timing related defects.
The percentage of failures in a system that are due to software versus hardware is also very predictable. There is a simple rule of thumb. The amount of software continues to grow exponentially every year while hardware is slowly being replaced by software. So, if you know that last year your product had 60% hardware failures and 40% software failures that means that this year it will be no less than 40% and probably 10-12% more than that.
This page covers very simple methods for predicting the software failures before the code is even written.
Here is an example operations list for a medical enteral pump system:
1. Power on pump
2. Navigate main menu
1. Set patient details
2. Set feeding program
1. Select feeding mode (continuous, intermittent)
2. Set feeding rate
3. Set feeding duration
3. Start/stop feeding
4. View feeding history
5. Adjust alarm settings
3. Acknowledge/silence alarms
4. Power off pump
This list was developed by walking through the menu structure and identifying the key operations a user could perform with the pump system. The numbering indicates sub-operations under main operations.
Here are some potential issues with the specification and assumptions:
1. The specification does not define the format, structure or content of the log files. This could lead to logs that are not readable, searchable or don't contain necessary information.
2. There are no requirements for log file rollover or management. This could lead to logs filling storage and stopping additional logging.
3. Requirements for logging in the event of failures are missing. Logging may stop working if the system fails.
4. No requirements for log security, integrity or backup. Logs could be modified or deleted accidentally or maliciously.
5. Timing requirements are missing. Important events may not be captured if they occur close to
The IEEE 1633 provides practical guidance for developing reliable software and making key decisions that include reliability. There are qualitative and quantitative tasks starting from the beginning of the program until deployment. These methods are applicable for agile and incremental development environments. In fact, they work better in an agile environment. This document has practical step by step instructions for how to identify failure modes and root cause, identify risks that are often overlooked, predict defects before the code is even written, plan staffing levels for testing and support, evaluate reliability during testing, and make a release decision. Examples of the techniques are provided. This document was written by people who have real world experience in making software more reliable while still on time and within budget. It covers software failure modes effects analysis, software fault trees, software defect root cause analysis, reliability predictions, defect density predictions, software reliability benchmarking, software reliability growth estimation, developing a reliability driven test suite, allocating reliability to software, evaluating the portion of the total system failures that will be caused by the software, and managing software for reliability. The working group is chaired by Ann Marie Neufelder who is the global leader in reliable software. The document will be updated in 2023 for the Common Defect Enumeration and relationship with DevSecOps.
The document discusses issues with the conventional "waterfall" model of software development and proposes improvements. It analyzes that the waterfall model is risky and invites failure due to late testing exposing design flaws. It then provides 5 necessary improvements: 1) adding a design phase before analysis, 2) increased documentation, 3) developing the software in two iterations, 4) improved testing planning and 5) increased customer involvement. It also discusses common issues seen in practice with the waterfall model like protracted integration, late risk resolution, and adversarial stakeholder relationships due to a focus on documents over working software.
Reliable software in a continuous integration/continuous deployment (CI/CD) e...Ann Marie Neufelder
When the Waterfall software development model was first published it was not the intent to have multi-year development cycles. However, once this very bad practice became institutionalized it was difficult to change. The Agile Manifesto helped to change that only to result in convenient myths about continuous integration/continuous development. Contrary to popular belief having better and more reliable software is one of the key goals of CI/CD. The shorter cycles, daily reviews and code a little test a little approach has been correlated to more reliable software for decades. While CI/CD does minimize the risk of the long development cycles, it doesn't mitigate every risk. For example, it won't fix software engineers who don't understand the industry or product. It won't fix an insufficient level of rigor in testing. It won't fix designing/testing for success while ignoring designing/testing for failure. The primary purpose of CI/CD was to have data so that future sprints/releases could be more successful. Yet many software organizations fail to collect, analyze or learn from the previous sprints. Engineering leaders often have unrealistic expectations that Agile fixes everything. Even the best CI/CD environments can still experience failure from overlooking one key risk or overlooking one key failure mode.
Some of the most famous information breaches over the past few years have been a result of entry through embedded and IoT system environments. Often these breaches are a result of unexpected system architecture and service connectivity on the network that allows the hacker to enter through an embedded device and make their way to the financial or corporate servers. Experts in embedded security discuss key security issues for embedded systems and how to address them.
Behavior Driven Development is one of the most commonly misunderstood techniques in DevOps, but it is also one of the key enablers of both an Agile culture and true continuous deployment. This talk will attempt to fill in the missing pieces on exactly what BDD is and how your teams can use it to increase communication, drive quality, and reduce waste. We will also connect the dots on why you need a test-first strategy to enable trunk-based development, continuous integration, and continuous deployment. If your business still struggles with monthly or quarterly big-batch releases, this talk will show you what your teams must do to evolve to the next stage of continuous delivery.
Learn how to establish a greater sense of confidence in your release cycle, along with the practices and processes to create a high-performing engineering culture within your team.
Revised IEEE 1633 Recommended Practices for Software ReliabilityAnn Marie Neufelder
The IEEE 1633 document provides guidance on applying software reliability engineering practices during development. It outlines key tasks such as determining system reliability objectives, performing early software reliability predictions, integrating predictions into overall system models, determining total reliability needed from software, and planning reliability growth. The document aims to help reliability engineers and software engineers collaborate to establish objectives and metrics for individual software components.
Software reliability engineering has existed for over 50 years, fundamental prerequisite for virtually all modern systems. Diverse set of stakeholders requires pragmatic guidance and tools to apply software reliability models to assess real software or firmware projects during each stage of the software development lifecycle. Reliability engineers may lack software development experience. Software engineers may be unfamiliar with methods to predict software reliability. Both may have challenges acquiring data needed for the analyses.
Newly revised IEEE 1633 Recommended Practice for Software Reliability provides actionable step by step procedures for employing software reliability models and analyses.
software testing and quality assurance .pdfMUSAIDRIS15
This document provides an introduction to software quality assurance. It defines software as a set of instructions that guides the computer's hardware, and defines software quality assurance as planned actions to provide adequate confidence that software conforms to requirements. It discusses challenges to software quality like high complexity, invisibility of products, and limited opportunities to detect defects. Finally, it outlines important factors in managing software quality, like correctness, reliability, efficiency, and maintainability.
The Software Engineering Profession SWE311The Software Enginee.docxssusera34210
The Software Engineering Profession SWE311
The Software Engineering Profession SWE311-1503A-01 7/27/2015
Antoine Sims
Table of Contents
Project Outline 2
Overview 2
IT Infrastructure 3
Software Engineering Practices 4
Methodology 4
Software Engineering Standards 7
Standards 7
Software Engineering Communications 9
Communication 9
Software Engineering Ethics and Roles 12
TBD 12
Software Engineering Issues 13
TBD 13
References 14
Phase 3. Repurposed: “This task contains portions of material that were originally submitted during the phase 3 discussion board The Software Engineering Profession in SWE311 with Professor Tricic
Project Outline
Overview
Bungie.net is a company that serves as a community role for online gamers that have been around since 1996. Gamers continue to use the site as a place to gather information about news, events and technical information on upcoming games and projects. The primary function of the site is to serve as a community hub for anything that is Bungie Studios related. Any game or project that Bungie has is available for discussion through forums. Online gamers can also track there stats for games that they play. The site also serves as a means for Bungie to get feedback about gaming experience before issuing out updates to the latest gameplay updating.
“Bungie.net leverages the Microsoft .NET Framework running on Microsoft Windows 2003 and Microsoft SQL 2000 Servers to serve up over 3 million page views per day and accumulating over 300 GB of data a month of online game statistics from the almost 1 million online games played every day. Not only is Bungie.net built to scale, but its design and inventive features have not gone unnoticed, since it was rated as the "Most Innovative Design" by IGN Entertainment. The site also exceeds a 99 percent up-time ratio even through peak usage periods such as the week of the Halo 2 release. Clearly, the release of the Bungie.net site defines a new milestone in the era of online game play. This case study provides insight into this accomplishment” (Microsoft Corporation, 2005).
IT Infrastructure
Bungie has two IT department consists of two separate entities. One of those entities is an IT department that maintains the Bungie.net website and the other is its engineering department. The engineering department is the department where Bungie creates its software for the video game that they develop. In the IT Department or Operations there are several positions such as IT engineer, IT support/server specialist, and datacenter operations specialist. These people maintain the online gaming data and the website. They deal with the servers keeping them up and running. The Engineering Department has a host of position that incorporate it such as database engineers, infrastructure/platform engineers, mobile engineers, leads, online engineers, tools engineers, game server tools engineers, engine programmers, game service engineers, activities engineers, graphics pr ...
The document discusses best practices for quality software development including defining quality code, design, and processes. It outlines common problems like poor requirements, unrealistic schedules, and miscommunication. It recommends solid requirements, realistic schedules, adequate testing, sticking to initial requirements where possible, and good communication. The document also presents 7 principles of quality development including keeping it simple, maintaining vision, planning for reuse, and thinking before acting. It concludes with tips for developers like focusing on users and tools to aid development.
Network intrusion. Information theft. Outside reprogramming of systems. These examples are just a few of the several reasons why software security is becoming increasingly more important to all industries. No system is immune, so it’s more important than ever to understand why secure code matters and how to create safer applications.
With this presentation you'll learn how to:
-Protect your systems from risk
-Comply with security standards
-Ensure the entire codebase is bulletproof
The software Common Defect Enumeration is a means to categorize the root causes of software defects that originate in the specifications, design, interfaces. Early defect enumerations focused on coding related issues.
We have analyzed almost 1 million software failures and less than half originate in the coding activity. Mitre's Common Weakness Enumeration provides for standardization and organization of vulnerabilities as well as a means to update that enumeration with new vulnerabilities. This CDE provides for the same goals except that it focuses on software defects.
The enumeration is categorized by the architectural level, type of failure and where it originates. Some defects apply to the entire software system. Peak loading related defects for example tend to apply to the whole application. Some defects apply at a capability or feature level. Sometimes the features may be inconsistent with each other or executed out of order. Some defects originate in a single specification. Some defects originate in the interfaces between the software/hardware.
The types of failure modes include faulty functionality, faulty error handlings, faulty state management, faulty sequencing, faulty timing, faulty data definition, faulty processing, faulty machine learning, faulty logic and faulty I/O.
The origination of the defect is either in the specifications (the whats), the design (the hows) or the coding. The defect is attributed to specification if the whats aren't fully identified, are ambiguous, conflicting, over engineered or underengineered. The defect is attributed to design if the software engineer knows what to develop but didn't consider the state design, data design, logic design, timing design, fault management design considerations prior to coding. A defect originates in coding if the software engineer knows what to code and how to code it but the code doesn't work correctly.
The CDE has descriptions of each defect, examples, how to mitigate them. It can be used during a requirements or design review and it can be used for software failure modes effects analysis and software fault tree analysis.
This document provides an overview and introduction to a presentation on Software Failure Modes Effects Analysis (SFMEA). It discusses copyright restrictions on use of the presentation materials. It then provides brief biographies of the presenter Ann Marie Neufelder, who has extensive experience applying SFMEAs. The document outlines some common pitfalls to avoid in conducting SFMEAs and lists some example software failure modes and historical cases where failures occurred.
Site Reliability Engineering (SRE) is a concept where software engineers are hired to manage the reliability of products and services. SRE implements DevOps principles by automating manual system administration tasks and focusing on availability, performance, change management and monitoring through software. The key aspects of SRE include treating operations as a software problem to be solved through automation; managing services based on service level objectives; minimizing manual toil through automation; and sharing ownership of systems between SRE and product development teams.
This document provides an overview of DevOps concepts and the IBM DevOps solution. It defines DevOps as a software development method that emphasizes communication and collaboration between development and IT operations. The key concepts discussed include continuous integration, delivery, testing, monitoring, infrastructure as code, build pipelines, and the need for organizational change. It also outlines IBM's DevOps reference architecture and toolchain, including solutions for application release management, cloud provisioning, and deployment automation.
Describing our vision to enhance development process in five steps.
1- Build basic modules and wrap them with a set of startup-projects
2- Enhance already built and running project.
3- Define standard, specification and guidelines.
4- Achieve software quality factors
5- Define learning path.
Raggiungere nuovi livelli di time-to market ed efficienza: dallo sviluppo, al test, alla produzone in un solo passo.
Gabriele Giacomelli, HP ALM Solution Consultant
Mike Spaulding - Building an Application Security Programcentralohioissa
Application Security in many organizations is a simply a 'wish list' item, but with some staff and some training, AppSec can be a reality, even for a small organization. This talk will discuss the best practices, strategies and tactics, and resource planning to build an internal AppSec function - enterprise to 'mom & pop' operations will all benefit from this talk.
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
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
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Similar to the-top-ten-things-that-have-been-proven-to-effect-software-reliability-1.pdf
Reliable software in a continuous integration/continuous deployment (CI/CD) e...Ann Marie Neufelder
When the Waterfall software development model was first published it was not the intent to have multi-year development cycles. However, once this very bad practice became institutionalized it was difficult to change. The Agile Manifesto helped to change that only to result in convenient myths about continuous integration/continuous development. Contrary to popular belief having better and more reliable software is one of the key goals of CI/CD. The shorter cycles, daily reviews and code a little test a little approach has been correlated to more reliable software for decades. While CI/CD does minimize the risk of the long development cycles, it doesn't mitigate every risk. For example, it won't fix software engineers who don't understand the industry or product. It won't fix an insufficient level of rigor in testing. It won't fix designing/testing for success while ignoring designing/testing for failure. The primary purpose of CI/CD was to have data so that future sprints/releases could be more successful. Yet many software organizations fail to collect, analyze or learn from the previous sprints. Engineering leaders often have unrealistic expectations that Agile fixes everything. Even the best CI/CD environments can still experience failure from overlooking one key risk or overlooking one key failure mode.
Some of the most famous information breaches over the past few years have been a result of entry through embedded and IoT system environments. Often these breaches are a result of unexpected system architecture and service connectivity on the network that allows the hacker to enter through an embedded device and make their way to the financial or corporate servers. Experts in embedded security discuss key security issues for embedded systems and how to address them.
Behavior Driven Development is one of the most commonly misunderstood techniques in DevOps, but it is also one of the key enablers of both an Agile culture and true continuous deployment. This talk will attempt to fill in the missing pieces on exactly what BDD is and how your teams can use it to increase communication, drive quality, and reduce waste. We will also connect the dots on why you need a test-first strategy to enable trunk-based development, continuous integration, and continuous deployment. If your business still struggles with monthly or quarterly big-batch releases, this talk will show you what your teams must do to evolve to the next stage of continuous delivery.
Learn how to establish a greater sense of confidence in your release cycle, along with the practices and processes to create a high-performing engineering culture within your team.
Revised IEEE 1633 Recommended Practices for Software ReliabilityAnn Marie Neufelder
The IEEE 1633 document provides guidance on applying software reliability engineering practices during development. It outlines key tasks such as determining system reliability objectives, performing early software reliability predictions, integrating predictions into overall system models, determining total reliability needed from software, and planning reliability growth. The document aims to help reliability engineers and software engineers collaborate to establish objectives and metrics for individual software components.
Software reliability engineering has existed for over 50 years, fundamental prerequisite for virtually all modern systems. Diverse set of stakeholders requires pragmatic guidance and tools to apply software reliability models to assess real software or firmware projects during each stage of the software development lifecycle. Reliability engineers may lack software development experience. Software engineers may be unfamiliar with methods to predict software reliability. Both may have challenges acquiring data needed for the analyses.
Newly revised IEEE 1633 Recommended Practice for Software Reliability provides actionable step by step procedures for employing software reliability models and analyses.
software testing and quality assurance .pdfMUSAIDRIS15
This document provides an introduction to software quality assurance. It defines software as a set of instructions that guides the computer's hardware, and defines software quality assurance as planned actions to provide adequate confidence that software conforms to requirements. It discusses challenges to software quality like high complexity, invisibility of products, and limited opportunities to detect defects. Finally, it outlines important factors in managing software quality, like correctness, reliability, efficiency, and maintainability.
The Software Engineering Profession SWE311The Software Enginee.docxssusera34210
The Software Engineering Profession SWE311
The Software Engineering Profession SWE311-1503A-01 7/27/2015
Antoine Sims
Table of Contents
Project Outline 2
Overview 2
IT Infrastructure 3
Software Engineering Practices 4
Methodology 4
Software Engineering Standards 7
Standards 7
Software Engineering Communications 9
Communication 9
Software Engineering Ethics and Roles 12
TBD 12
Software Engineering Issues 13
TBD 13
References 14
Phase 3. Repurposed: “This task contains portions of material that were originally submitted during the phase 3 discussion board The Software Engineering Profession in SWE311 with Professor Tricic
Project Outline
Overview
Bungie.net is a company that serves as a community role for online gamers that have been around since 1996. Gamers continue to use the site as a place to gather information about news, events and technical information on upcoming games and projects. The primary function of the site is to serve as a community hub for anything that is Bungie Studios related. Any game or project that Bungie has is available for discussion through forums. Online gamers can also track there stats for games that they play. The site also serves as a means for Bungie to get feedback about gaming experience before issuing out updates to the latest gameplay updating.
“Bungie.net leverages the Microsoft .NET Framework running on Microsoft Windows 2003 and Microsoft SQL 2000 Servers to serve up over 3 million page views per day and accumulating over 300 GB of data a month of online game statistics from the almost 1 million online games played every day. Not only is Bungie.net built to scale, but its design and inventive features have not gone unnoticed, since it was rated as the "Most Innovative Design" by IGN Entertainment. The site also exceeds a 99 percent up-time ratio even through peak usage periods such as the week of the Halo 2 release. Clearly, the release of the Bungie.net site defines a new milestone in the era of online game play. This case study provides insight into this accomplishment” (Microsoft Corporation, 2005).
IT Infrastructure
Bungie has two IT department consists of two separate entities. One of those entities is an IT department that maintains the Bungie.net website and the other is its engineering department. The engineering department is the department where Bungie creates its software for the video game that they develop. In the IT Department or Operations there are several positions such as IT engineer, IT support/server specialist, and datacenter operations specialist. These people maintain the online gaming data and the website. They deal with the servers keeping them up and running. The Engineering Department has a host of position that incorporate it such as database engineers, infrastructure/platform engineers, mobile engineers, leads, online engineers, tools engineers, game server tools engineers, engine programmers, game service engineers, activities engineers, graphics pr ...
The document discusses best practices for quality software development including defining quality code, design, and processes. It outlines common problems like poor requirements, unrealistic schedules, and miscommunication. It recommends solid requirements, realistic schedules, adequate testing, sticking to initial requirements where possible, and good communication. The document also presents 7 principles of quality development including keeping it simple, maintaining vision, planning for reuse, and thinking before acting. It concludes with tips for developers like focusing on users and tools to aid development.
Network intrusion. Information theft. Outside reprogramming of systems. These examples are just a few of the several reasons why software security is becoming increasingly more important to all industries. No system is immune, so it’s more important than ever to understand why secure code matters and how to create safer applications.
With this presentation you'll learn how to:
-Protect your systems from risk
-Comply with security standards
-Ensure the entire codebase is bulletproof
The software Common Defect Enumeration is a means to categorize the root causes of software defects that originate in the specifications, design, interfaces. Early defect enumerations focused on coding related issues.
We have analyzed almost 1 million software failures and less than half originate in the coding activity. Mitre's Common Weakness Enumeration provides for standardization and organization of vulnerabilities as well as a means to update that enumeration with new vulnerabilities. This CDE provides for the same goals except that it focuses on software defects.
The enumeration is categorized by the architectural level, type of failure and where it originates. Some defects apply to the entire software system. Peak loading related defects for example tend to apply to the whole application. Some defects apply at a capability or feature level. Sometimes the features may be inconsistent with each other or executed out of order. Some defects originate in a single specification. Some defects originate in the interfaces between the software/hardware.
The types of failure modes include faulty functionality, faulty error handlings, faulty state management, faulty sequencing, faulty timing, faulty data definition, faulty processing, faulty machine learning, faulty logic and faulty I/O.
The origination of the defect is either in the specifications (the whats), the design (the hows) or the coding. The defect is attributed to specification if the whats aren't fully identified, are ambiguous, conflicting, over engineered or underengineered. The defect is attributed to design if the software engineer knows what to develop but didn't consider the state design, data design, logic design, timing design, fault management design considerations prior to coding. A defect originates in coding if the software engineer knows what to code and how to code it but the code doesn't work correctly.
The CDE has descriptions of each defect, examples, how to mitigate them. It can be used during a requirements or design review and it can be used for software failure modes effects analysis and software fault tree analysis.
This document provides an overview and introduction to a presentation on Software Failure Modes Effects Analysis (SFMEA). It discusses copyright restrictions on use of the presentation materials. It then provides brief biographies of the presenter Ann Marie Neufelder, who has extensive experience applying SFMEAs. The document outlines some common pitfalls to avoid in conducting SFMEAs and lists some example software failure modes and historical cases where failures occurred.
Site Reliability Engineering (SRE) is a concept where software engineers are hired to manage the reliability of products and services. SRE implements DevOps principles by automating manual system administration tasks and focusing on availability, performance, change management and monitoring through software. The key aspects of SRE include treating operations as a software problem to be solved through automation; managing services based on service level objectives; minimizing manual toil through automation; and sharing ownership of systems between SRE and product development teams.
This document provides an overview of DevOps concepts and the IBM DevOps solution. It defines DevOps as a software development method that emphasizes communication and collaboration between development and IT operations. The key concepts discussed include continuous integration, delivery, testing, monitoring, infrastructure as code, build pipelines, and the need for organizational change. It also outlines IBM's DevOps reference architecture and toolchain, including solutions for application release management, cloud provisioning, and deployment automation.
Describing our vision to enhance development process in five steps.
1- Build basic modules and wrap them with a set of startup-projects
2- Enhance already built and running project.
3- Define standard, specification and guidelines.
4- Achieve software quality factors
5- Define learning path.
Raggiungere nuovi livelli di time-to market ed efficienza: dallo sviluppo, al test, alla produzone in un solo passo.
Gabriele Giacomelli, HP ALM Solution Consultant
Mike Spaulding - Building an Application Security Programcentralohioissa
Application Security in many organizations is a simply a 'wish list' item, but with some staff and some training, AppSec can be a reality, even for a small organization. This talk will discuss the best practices, strategies and tactics, and resource planning to build an internal AppSec function - enterprise to 'mom & pop' operations will all benefit from this talk.
Similar to the-top-ten-things-that-have-been-proven-to-effect-software-reliability-1.pdf (20)
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
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
Mobile app Development Services | Drona InfotechDrona Infotech
Drona Infotech is one of the Best Mobile App Development Company In Noida Maintenance and ongoing support. mobile app development Services can help you maintain and support your app after it has been launched. This includes fixing bugs, adding new features, and keeping your app up-to-date with the latest
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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.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
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!!
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
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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.