Why you starts the Software Testing efforts early phase ?

Early testing would be identify the issues in requirement/functional gap , through more questions get system knowledge as much early. Fail Fast, trying to predict, control, and eliminate business-risk in early phase. every business in complex environment, changing constantly,

Test Early , Test Often.

when we invest in the Testing in early phase to makesure need to find the right tester who can provide test value to products. this will be helping to reduce cost, increase productivity, high quality and on time to market.

This approach is also known as

-Test-driven development (TDD),

-Behaviour Driven Approach,

-Shift left Approach ,

-Defect Prevention mode ,

-Business Process Testing ,

-Risk based Testing ,

-Context Driven Testing etc ...

People First and Process Next , Identify right people who can improve the test process ,it's a continues improvement approach, must be Integrating the software testing with the development process.

This process integration is a most important so that adequate time and resources are allocated for both building the software and testing the software.

Process starts from People and improve by tools and through transparency.We can not implement same process across organizations and every product, for different type of market needs.

The process goal of testing is to identify functional gap, clarifications , bugs, errors, and problems in the software, and to ensure that the product meets the specified requirements.

Choosing the right testing tools depends on the specific needs for effort, resources & budget.

Test management tools:

These tools help organize and manage the testing process, including planning, execution, and reporting.-Zephyr,TestRail, & ALM...

Test automation:

This can save time & effort, and make it easier to run tests repeatedly for regression phase.

-Selenium, Appium, Cypress, Jest RestAssured, and Mocha etc ...

Performance-testing: measure the Application performance and scalability of software, including response-time, throughput User usage- Jmeter, LR, Neoload ...

Static analysis tools:These tools analyze source code and other artifacts without executing the code. identify problems and vulnerabilities, such as security issues, coding standards violations. - SonarQube, Coverity, & Fortify.

Debugging tools: These tools help developers identify and fix defects in the software - Visual Studio Debugger, and XCode.

Performance engineering is a discipline that focuses on the design, development, and delivery of high-performance software systems.

Performance modeling: This involves creating mathematical models of the system to predict how it will behave under different workloads and conditions.

Performance testing: This involves subjecting the system to various types of tests, such as load, stress, and endurance tests, to identify any bottlenecks or other issues that may impact performance. Infra level Performance-KPI , DB, API and UI / Images.

Performance optimization: This involves identifying and addressing any issues or bottlenecks that are identified through performance testing, in order to improve the performance and scalability of the system.

It is a multidisciplinary field that involves collaboration between developers, architects, and performance experts.

Focus on evaluating the security of a software application or system. .

Vulnerability scanning:

This involves using automated tools to scan the system for known vulnerabilities, such as weak passwords or unpatched software.

Penetration testing: This approach involves simulating an attack on the system in order to identify vulnerabilities that could be exploited by an attacker.

Network security testing: This involves evaluating the security of the network infrastructure that the system relies on, including firewalls, routers, and servers.

Application security testing: This involves evaluating the security of the application itself, including the underlying code and the user interface.it helps ensure that the system is secure and protects sensitive data. - Burp Suite, Nessus, and AppScan.

Good practices : Strong passwords & two-factor authentication (2FA), Regular updates (Keeping software and operating systems up to date with the latest security patches), Data encryption: Encrypting sensitive data, & Access controls level(Role based access).

All means Data about Data.

Descriptive metadata: This type of metadata describes the content and characteristics of a piece of data, - title, author, date of creation, and subject matter.

Structural metadata: This type of metadata describes the organization or structure of a piece of data, such as the relationships between different parts of the data or formatted.

Administrative metadata: This type of metadata describes the management and maintenance of a piece of data, such as its creator, copyright status, or access restrictions.

Technical metadata: such as its file format, size, or resolution. Metadata is often used to organize and manage large datasets Structured, Unstructured, Big data, Raw data and Processed data.

ETL tools can extract data from various sources, such as databases, files, or APIs, using a variety of connectivity options.

Data transformation, Data loading. Scheduling and Monitoring

-Informatica, Talend, & Data Stage.

SRE/Support teams work closely with software developers and operations teams to ensure that systems are designed and implemented in a way that meets the needs of the business and its customers.

Monitoring and alerting: These tools are used to monitor the performance and health of systems and services, and to alert SRE teams when there are issues or potential problems. - Nagios, Datadog, and Prometheus.

Incident response & recovery: These tools are used to help SRE teams respond to and recover from incidents and outages. - PagerDuty and VictorOps.

Capacity,Performance- optimization: These tools are used to help SRE teams plan for and optimize the capacity and performance of systems. Grafana and New Relic.

Automation: These tools are used to automate operational tasks, such as deployment, provisioning, and scaling, in order to improve efficiency and reduce the risk of errors. -Ansible, Chef, and Puppet.

Debugging & troubleshooting: These tools are used to help SRE teams identify and fix issues with systems. - GDB and strace.

The first step in risk analysis is to identify the potential risks that an organization or individual may face to identify potential threats.

Assess the likelihood of the risks: Once the risks have been identified, the likelihood of each risk occurring should be assessed. - analyzing historical data or using expert judgment to estimate the probability of each risk.

Assess the potential impact of the risks:

The potential impact of each risk should also be assessed, including any financial, operational, or reputational consequences that may result from the risk occurring.

Prioritize the risks:

Based on the likelihood and potential impact of the risks, they should be prioritized to focus efforts on the most critical ones.

Risk management plan:

This plan should include strategies to minimize or mitigate the impact of the risks, and avoiding the risk, transferring the risk to a third party,

Implement & monitor the risk management plan: it should be monitored to ensure that it is effective. This may involve ongoing monitoring and review of the plan to identify any changes that may be needed...

Value adds refer to additional features, benefits, or services that are added to a service in order to enhance its value or appeal to customers.

By offering value adds, businesses can increase the perceived value of their services, which can help increase customer loyalty & sales.

Customer research: Conducting customer research can help businesses understand what their customers value and what they are looking for in service. This can help identify potential value adds that will be most appealing to customers.

Competitive analysis: Analyzing the offerings of competitors can help businesses identify opportunities to differentiate their products or services through value adds.

Innovation: Developing new and innovative value adds can help businesses stand out in the market and offer unique benefits to customers.

By effectively identifying and implementing value adds, businesses can increase the value of their services and create a competitive advantage.

A Testing Center of Excellence (TCoE) is an organization or department within a company that is responsible for defining, implementing, and maintaining the testing practices and processes of the company.

Defining testing standards and best practices: The TCoE is responsible for defining the testing standards and best practices that should be followed within the company.

Providing training and support: The TCoE provides training and support to testers within the company, helping them to improve their skills and knowledge.

Implementing testing tools and processes: The TCoE is responsible for implementing testing tools and processes that support the testing efforts of the company.

Managing testing resources: The TCoE is responsible for managing the testing resources of the company, including test environments, test data, and testing infrastructure.

Continuous improvement: Continuously reviewing , improving the testing practices and processes of the company in order to ensure that they are effective and efficient.

CI&CD improve the speed, quality, and reliability of software delivery.

Version control: Using version control allows multiple developers to work on the same codebase without overwriting each other's changes. It also enables CI by allowing developers to commit code changes to a shared repository.

Automate testing: By automating testing, developers can quickly and consistently verify that code changes are of high quality and do not break the existing codebase.

Build server: A build server is a tool that automates the build and testing process. It can help ensure that code changes are built and tested consistently and automatically.

Deployment pipeline: An automated processes that move code changes from development to production environments. It can help ensure that code changes are deployed consistently and automatically, reducing the risk of errors and downtime.

Monitor the pipeline: It's important to monitor the pipeline to ensure that it is running smoothly and to identify and address any issues that may arise.

Continuous improvement: It's important to continuously review and improve the CI and CD processes in order to ensure that they are effective and efficient..

Release management is the process of planning, coordinating, and controlling the delivery of software updates and new features to users. It's an important aspect of software development as it helps ensure that software is delivered in a timely, reliable, and controlled manner.

The goal of release management is to minimize the risk of errors and downtime, and to ensure that software updates are delivered to users with minimal disruption.This involves tasks such as planning and scheduling releases, coordinating with different teams and stakeholders, testing and verifying code changes, and managing the deployment process.

Effective release management requires the use of a robust set of processes and tools to manage and track the release process. This can include version control systems, issue tracking tools, and deployment automation tools.

It's important to note that release management is not just about deploying code changes, but also about managing the entire release process from planning to deployment and beyond.

The goal of a testing is to ensure that the testing function within an organization is effective and efficient, and that it helps to ensure the quality, reliability, and performance of the organization's products and services. Defining the overall testing strategy and approach for the organization:

-Managing the testing function.

-Coordinating testing activities across the team

-Monitoring test progress & results. -Establishing quality standards.

-Continues Improvements.

Organizations may set specific quality goals that outline the level of quality that is desired for a product or service. These goals may be based on factors such as customer satisfaction, error rates, or defect levels,Implementing.

Quality control processes:

Organizations may implement quality control processes that are designed to identify and address issues with the quality of a product or service. These processes may involve testing, inspection, and other activities to ensure that the product or service meets the required quality standards.

Quality Audits are typically conducted by independent third parties, such as accounting firms, who have the expertise and skills necessary to thoroughly review and evaluate an organization's Quality records. Quality audits typically involve a review of the organization's quality policies and procedures, as well as an evaluation of the organization's performance against those policies and procedures. - quality audits, including process audits, system audits, and product audits, departmental level, the operational level, and the strategic level.

The results of a quality audit are usually presented in a report, which may include recommendations for improvement or corrective action.Test governance refers to the Systems, People, Process and Policies that an organization puts in place to ensure that its testing activities are aligned with its overall goals.

Effective test governance can help organizations to ensure that their testing efforts are well-planned, well-executed, and aligned with the needs of the business.

It can also help to ensure that testing resources ,tools are used efficiently and effectively, and accurate and reliable.

Instead of having to purchase and maintain their own physical hardware and infrastructure, users can access these resources as a service on a pay-as-you-go basis, typically on a subscription model.

Cost savings:

By using shared resources, organizations can reduce the costs of purchasing, maintaining, and upgrading hardware and infrastructure.

Scalability: Cloud computing allows organizations to easily scale their computing resources up or down as needed, without having to invest in additional hardware.

Flexibility: Users can access cloud computing resources from anywhere with an internet connection, making it easy to work remotely or from different locations.

Security: Cloud computing providers typically have strong security measures in place to protect the data and resources of their users.

Disaster recovery plan: Develop a plan for disaster recovery and ensure that you have the necessary tools and resources in place to recover from any disruptions or failures in your cloud infrastructure.