Recently on SearchSoftwareQuality
Why QA, CI falter without automated release management
Automating software release management can help speed deployments and improve continuous integration processes and application quality.
More Highlights
- A QA team finds continuous testing benefits worth the effort
QA teams can gain a lot from continuous testing. While successful continuous testing requires all of an organization to get on board, the results are worth it.
- Enterprise software developers: Forget minor software bugs
Many enterprises think software isn't perfect unless they eliminate minor defects. However, this approach won't prevent major disasters, and it hinders the practices that would.
- Jaguar Land Rover, BI Worldwide share GitLab migration pros and cons
Enterprise DevOps pros that switched to GitLab from GitHub and Atlassian tools share their experiences as Microsoft refugees eye GitHub competitors post acquisition.
Definitions
- model-driven development (MDD)
Model-driven development (MDD) is a format to write and implement software quickly, effectively and at minimum cost.
- alpha testing
Alpha testing is the initial phase of validating whether a new product will perform as expected. Alpha tests are carried out early in the development process by internal staff and are followed up with beta tests, in which a sampling of the intended audience actually tries the product out.
- software development life cycle (SDLC)
The software development life cycle (SDLC) is a conceptual model, used in project management, to describe the stages and tasks involved in each step of a project to write and deploy software.
Browse Software Quality Topics
ALM
Application lifecycle management (ALM) refers to the processes, models and tools that manage an application from idea conception through end-of-life. ALM includes the management of the software development lifecycle (SDLC) including requirements management, design, code, test, release management and software maintenance, but goes beyond SDLC and includes management of governance and operations processes. ALM tools facilitate adherence to software development processes and help to provide an integrated approach to application development.
Recent Definitions
- model-driven development (MDD)
Model-driven development (MDD) is a format to write and implement software quickly, effectively and at minimum cost.
- software development life cycle (SDLC)
The software development life cycle (SDLC) is a conceptual model, used in project management, to describe the stages and tasks involved in each step of a project to write and deploy software.
- Docker
Docker is an open source software platform to create, deploy and manage virtualized application containers on a common operating system (OS), with an ecosystem of allied tools.
Highlights
- Why QA, CI falter without automated release management
- IT pros weigh Git version control against the competition
- Understand continuous delivery and continuous deployment
More ALM Topics
- Application Lifecycle Management Software Fundamentals
- Application Lifecycle Management Tools and Processes
- Cloud ALM
- Service-Level Agreement Management
- Software Configuration and Change Management
- Software Deployment Management
- Software Maintenance Process
- Software Performance Management
- Software Requirements Management
- Software ROI and Business Analysis
- Software Version Control
Models and Methodologies
Software development models and methodologies describe the processes that are followed in a software development lifecycle (SDLC.) Traditional approaches include the phased waterfall methodology that includes requirements, design, implementation, verification and maintenance phases. The traditional approaches typically require that each phase is complete before the next one starts. Agile methodologies such as XP and Scrum work in shorter iterations and promote a collaborative approach where project teams include members representing business, development and test work closely together throughout the entire lifecycle.
Recent Definitions
- API management platform
An API management platform is a tool that acts as a proxy for customer requests to protect the back ends of online services from being brought down from too many queries.
- model-driven development (MDD)
Model-driven development (MDD) is a format to write and implement software quickly, effectively and at minimum cost.
- DRY principle
The DRY (don't repeat yourself) principle is a best practice in software development that recommends software engineers to do something once, and only once. The concept, which is often credited to Andrew Hunt and David Thomas, authors of "The Pragmatic Programmer," is the tongue-in-cheek opposite of the WET principle. WET stands for "write everything twice."
Highlights
- 5 reasons the Microsoft, GitHub acquisition makes sense
- Don't fear chaos engineering if you are a DevOps tester
- Improve the rapid application development model for deployment readiness
More Models and Methodologies Topics
- Agile Software Development (Agile, Scrum, Extreme)
- Extreme Programming (XP)
- Scrum software development
- Software Development Fundamentals
- Test-Driven and Model-Driven Development
- Traditional Software Models (RUP, V-Model, CMM, Waterfall)
Project Management
Software performance management is a critical component of application lifecycle management. Software applications need to be tested to see if they'll be able to withstand the anticipated load and be scalable for future growth. By including software performance management as a component of the application's lifecycle, the team can perform the testing necessary to determine the application's thresholds and proactively code for optimal performance. With software performance management included in the overall plan, performance can be predicted and eliminate any unpleasant surprises due to slow performance.
Recent Definitions
- smoke testing
Smoke testing, also called build verification testing or build acceptance testing, is nonexhaustive software analysis that ascertains that the most crucial functions of a program work but does not delve into finer details.
- quality assurance (QA)
Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements.
- software audit
A software audit is an internal or external review of a software program to check its quality, progress or adherence to plans, standards and regulations.
Highlights
- Why QA, CI falter without automated release management
- Enterprise software developers: Forget minor software bugs
- IT pros weigh Git version control against the competition
More Project Management Topics
- Building Software Project Teams
- Outsourcing Software Projects
- Software Project Management Process
- Software Project Tracking and Reports
- Software Quality Management
- Software Testing and QA Fundamentals
Requirements
Software requirements engineering is a crucial element in software engineering. Requirements analysis includes three types of activity: eliciting requirements, analyzing requirements and recording requirements. Eliciting requirements is the task of communicating with customers, users and stakeholders to determine which functions and features of an application. In analyzing the requirements, customers, users, and stakeholders help clarify and prioritize those features and functions. Documenting requirements can be done in different ways or with different tools. Traditional methodologies use a requirements specification. Agile methodologies document requirements with use cases or user stories.
Recent Definitions
- software development life cycle (SDLC)
The software development life cycle (SDLC) is a conceptual model, used in project management, to describe the stages and tasks involved in each step of a project to write and deploy software.
- dependency hell
Dependency hell occurs when a software application cannot access the additional programming it depends upon to function.
- design thinking
Design thinking is an iterative approach to problem solving that intentionally seeks out people with different perspectives, knowledge, skills and experience and has them work together to create a practical solution for a real-world problem. The five steps in design thinking are empathize, define, ideate, prototype and test.
Highlights
- Run code complexity tools and Java coverage tests with Maven
- Learn how to install Jenkins CI to enhance your DevOps skills
- Improve the rapid application development model for deployment readiness
More Requirements Topics
- Building security into the SDLC (Software development life cycle)
- Gathering Software Requirements Use Cases
- Software Requirements Gathering Techniques
- Software Requirements Tools
Security Testing and QA
Software security testing and quality assurance is used to provide protection for data managed and controlled by software applications. Security testing needs to be done to prevent harm that could result from the loss, inaccuracy, alteration, unavailability or misuse of data. Information is categorized by severity of impact and security requirements such as those that address access control, data management and access, audit trails and usage records must be validated. Security defects are often a result of non-conformance or an error or omission in the software requirements.
Recent Definitions
- model-based testing
Model-based testing (MBT) requires a test team to create a second, lightweight implementation of a software build- typically only the business logic - called the model.
- smoke testing
Smoke testing, also called build verification testing or build acceptance testing, is nonexhaustive software analysis that ascertains that the most crucial functions of a program work but does not delve into finer details.
- cross-site scripting (XSS)
Cross-site scripting (XSS) is a type of injection security attack in which an attacker injects data, such as a malicious script, into content from otherwise trusted websites.
Highlights
- Security in open source software isn't automatic
- OSS security requires DIY scrutiny, not trusting 'many eyes'
- Amp up OSS security with these steps
More Security Testing and QA Topics
- Internet Application Security
- Penetration Testing
- Software Security Test Best Practices
- Software Security Testing Tools
Software Testing
Software testing is used to determine whether a software application is producing the expected results. Depending on the methodology used and the type of testing that's being done, software testing can happen at any time in the software development process. There are a variety of types of tests that are performed at different stages of the software development lifecycle such as unit tests, integration tests, systems tests and acceptance tests. Each of these can be further divided into types of testing such as functional, performance, regression, or usability tests, just to name a few. There are many tools that are used in software testing both to help find defects as well as to help track defects so that the end result is a high-quality product.
Recent Definitions
- model-driven development (MDD)
Model-driven development (MDD) is a format to write and implement software quickly, effectively and at minimum cost.
- alpha testing
Alpha testing is the initial phase of validating whether a new product will perform as expected. Alpha tests are carried out early in the development process by internal staff and are followed up with beta tests, in which a sampling of the intended audience actually tries the product out.
- software development life cycle (SDLC)
The software development life cycle (SDLC) is a conceptual model, used in project management, to describe the stages and tasks involved in each step of a project to write and deploy software.
Highlights
- A QA team finds continuous testing benefits worth the effort
- Enterprise software developers: Forget minor software bugs
- Jaguar Land Rover, BI Worldwide share GitLab migration pros and cons
More Software Testing Topics
- Automated Software Testing
- Cloud Application Testing
- Cloud Computing Testing and Development
- Exploratory Software Testing
- Mobile Application Testing Techniques and Tools
- Software Regression Testing
- Software Test Design and Planning
- Software Testing Methodologies
- Software Testing Tools and Frameworks
- Software Usability Testing and User Acceptance
- Stress, Load and Software Performance Testing
- Unit, Integration and Functional Software Testing