Jira was built in the year 2003, and it is used to manage and track bugs in the development of software. Jira bug tracking tool is referred to as a generic ticking system. Of course, sometimes QA teams are not satisfied with Jira. Whether they are satisfied or not does not affect Jira’s popularity in bug tracking because they have no choice other than Jira.

We have many other tools on the market to help in tracking the bugs, but no one can beat Jira’s effectiveness in tracing. The best practices of efficient and Jira instance robust can be possible with Jira administration. Jira has powerful planning features, workflow engines, and proper search functions. It gives full control to the products and also customizes workflows based on user requirements.

Features of Jira Bug Tracking:

• Defecting life cycles
• Defects are linked to enable traceability
• Issues of comprehensive
• Defect title, ID, and description
• Severity
• It treats all inside works as issues

Modern Technologies for Bug Tracking:

Finding tracking bugs and records in the software the critical tool that helps to achieve the requirements is nothing but a Bug tracking tool.

The following are the latest methods for bug tracking:

1. Bugzilla
2. Backlog
3. Sifter
4. MantisBT
5. Futuramo
6. Fossil
7. Lighthouse
8. RT and RTIR
9. Redmine
10. Trello

Here Is the Explanation:

1. 
   

   Bugzilla:

   
   

An open-source tool that offers duplicate bug detection, robust search engine capabilities, patch viewer, and time tracking is called Bugzilla. It provides software that uses a low learning curve. We can grant access by leaving private comments and notes on the specific bugs. Bugzilla runs on PostgreSQL, Oracle, and MySQL. It also requires Perl installation.

2. 
   

   Backlog:

   
   

To keep work track for the future, we use a dedicated space called a backlog. It also helps in doing a list of the agility projects. Well, the prioritized backlog can broadcast all the things which intend our team intends on customer’s internal work that they don’t notice. We have another set of backlogs called product backlog which gives the worklist from the roadmap.

3. 
   

   Sifter:

   
   

Sifter always believes that it is not easy to manage the software of scale and it takes a reasonable amount of time for bugs. We can enjoy savings in the budget by using a sifter. It has the way codebase in-depth analyzing and understanding. In conclusion bug testing sifter has a flowing system. By using a sifter clear communication can be possible between people in the project.

4. 
   

   MantisBT:

   
   

MantisBT is compatible with PostgreSQL and MySQL. It is built on PHP programming. Access control can also be offered by MantisBT which changes per project. Before several bug trackers, MantisBT was the only practical way. It also helps in discussing many software like FreeBSD and Linux. MantisBT has been kicking for fifteen years.

5. 
   

   Futuramo:

   
   

To provide better details about bugs we use one tool to allow images that are nothing but Futuramo. It is a visual ticketing solution and allows business partners and collaborators to exchange ideas effectively. Including time tracking, a slew of other modules can be provided by Futuramo. In this, we can add text as well as drawings to get better details about the bug.

6. 
   

   Fossil:

   
   

It is a cross-platform capable of distributed version control, wiki services, bug tracking, and blogging. It has a built-in interface and reduces the complexity of project tracking. It also helps to promote situational awareness. The techniques can be created to associate wikis with time rather than a topic. It is an open-source tool and also lets record milestones, process checkpoints, and blog entries.

7. 
   

   Lighthouse:

   
   

A more common design can be approached to the bug ticketing systems. The tagging system is the strongest point of the lighthouse that makes bug hunting. GitHub is one of the apps that help lighthouse API to the plugin, and it helps in bug management. The teams can be allowed on bugs through e-mail by email functionality while the lighthouse has having feature itself.

8. 
   

   RT and RTIR:

   
   

Request Tracker(RT) is a support ticket platform for helpdesk questions, bugs, security relations, and support issues. If we send an email it will be received in the request tracker and be used to access everyone in the team whereas autoresponder is used to support the ticket management more effectively. It is possible because the users can acknowledge the email and also to manage tickets it can create custom scripts.

9. 
   

   Redmine:

   
   

Redmine is an open-source project management which has still used for a decade and is compatible with PostgreSQL, SQ lite, and Microsoft SQL. It is flexible project management that is written by using Ruby. It is possible on the rails framework. The features of Redmine include more than one project management at a time. Sometimes Redmine is referred to as more than a bug tracker.

10. 
    

    Trello:

    
    

Trello helps in tracking development progress (including buds). It helps to foster new ideas. Trello is also used to help users to focus on the roadmap of a project or timeline. Trello’s platform is straightforward which keeps unique from remote locations also. Progress reporting abilities of Trello can help to create a project development history.

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What are the Standard issues in JIRA?

The primary aim of this Jira ticketing tool is to get informed about issues with the infrastructure. Actually, for good starting points, they don’t have problems like customer complaint tickets, or software malfunctions. Instead, they can track almost everything such as Jira to track CVs.

In fact, Jira comes with four standard issues.

They are:

• Bug: a problem to be fixed
• Epic: A significant work that may take a lot of time to complete
• Task: The work yet to be completed
• Story: That needs to be created

Bug: a problem to be fixed:

Initially, we capture bugs anywhere in our software projects. After discovering a bug then create an issue and add relevant details like severity level, descriptions, screenshots, and more. By using software bugs, we can represent many things like a project task and also leave a request form.

Epic: A significant work that may take a lot of time to complete:

The epic can be created if we have large user stories that want to split into small slabs. Suppose, if we have a pattern about several stories then also we have to create an epic, and finally they all should be bundled into a single group. To create an epic first navigate to the blog then click on the epic panel, and finally click create an epic. For example, when a data review fails at that time the user should install the Jira connector to Alteryx to investigate the discrepancy.

Task: The work yet to be completed:

When Jira’s story is broken into sub-tasks, then another task appears from their parent stories on the sprint board. At that time we have some estimated options like the sub-tasks in hours and estimated stories in points. Then Jira will add all the sub-tasks into one then we can use the story points in the sprint chart.

Story: That needs to be created:

Having a simple hierarchy of stories has many advantages. By brushing the backlog, we can split up the stories and purify the acquired benchmark until they meet the INVEST standard. Then they are suitable for inclusion in a sprint. If we break down a story, then it seems a little clunky by going to the new steps of creating new stories.

Conclusion:

Jira can be called the collection of an issue and can be of many types like marketing projects, website enhancement, and software development management. Jira is a standard project management that uses many issues to track the tasks. The issue can be dependent on the requirements and the organization. Of course, we discussed the standard issue, but we have some other issues such as helpdesk tickets, leave requests, and so on.

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Performance Testing Techniques:

The following are the techniques that are used in performance testing.

• Stress testing
• Load testing
• Spike testing
• Soak testing

There are many ways to approach performance testing. For example, benchmark testing is used for repeatability, and capacity planning testing is used to test the upper limit of the system. If we don’t use the performance testing properly, then it will become a confusing task.

Benchmark Testing:

Twenty years back the term benchmark was introduced, and still, it plays an active role in relative performance measurement. A benchmark is a metric that is used to determine product quality. Benchmark testing is used to give quantifiable results repeatable sets and is used for SUT(system under test) which is a comparison process between the performance of hardware and software. SUT is a web-based application. Response time should be stable among all types of load conditions. Consistency and control are essential factors for performing.

Benchmark Testing Services:

The following services can be done by using Benchmark testing:

• Accessibility
• Link popularity
• Compatibility testing
• Load Time
• Broken Links

Accessibility:

For widespread practice, the accessible web tool is used. Identifying the accessibility barriers burden can be reduced by using accessibility evolution tools. There are different ways to carry the accessibility checks.

Link Popularity:

The word link popularity is referred to as the total number of incoming links. To increase the domain authority, it is important to get many high-quality incoming links. Link popularity is one of the important priorities to increase Mozrank as well.

Compatibility testing:

The non-functional testing which is conducted on the application is called compatible testing. It is used application’s compatibility evolution. It has both forward and backward testing.

Load Time:

Load time can be measured by using tools like Google Page Speed Insight and GTmetrix. These tools are used to measure both desktop and mobile devices. For applications load time can be analyzed by YSlow.

Broken Links:

Many tools are used to identify broken links such as Google Analytics, and Xenu. These tools are used to track the website’s performance and also to find broken links easily.

Components of Benchmark Testing:

There are mainly three main components of Benchmark testing. They are:

• Specifications of workload
• Specifications of metrics
• Specifications of measurement

The workload is nothing but determining the frequency of response submitted under test. Metrics are used to eliminate the download speed. Specification of measurement is to decide to get proper values.

Capacity Planning:

The iterative process which is used to determine the application needed software and hardware configuration is known as capacity planning. The amount of resource which meets the service demands can be possible through capacity planning.

Purpose of Capacity Planning:

Capacity planning is used to determine the resource requirements (memory, storage, CPU) to support the user load. It is also used for load testing, stress testing, and soak testing.

Challenges of Capacity Planning:

The following are the challenges when capacity planning is conducted.

• A new system designing
• Migration from solutions
• The business process has changed
• End user community changed

The objectives of Capacity Planning:

• Required Network bandwidth
• Storage type and size
• Memory size

Recommendations for Capacity Planning:

The following are the necessary steps involved in developing a capacity plan.

• Identification of service levels
• Workload definitions
• Components response time identification
• Measure usage resource and service levels
• Unit of work determination and future processing requirements
• Future system configuration planning

Some other tools in Performance Testing:

As we already know the process of determining reliability, scalability, effectiveness, and speed is known as performance testing. We have many other tools in performance testing such as Web load, Silk performer, LoadUI Pro, Load view, StresStimulus, Neoload, Orion (used to test Oracle DBA), Apache JMeter, Smartmeter.io, Apploader, Rational performance tester.

Web load Tool:

Correlation, response validation, native Java Scripting, messaging, and debugging are offered by Web load IDE. Almost 50 virtual users are included in the Web load edition with features of Web load access. After downloading and installing the updated license then click the free edition option.

Silk performer:

Silk performer is nothing but a leading solution test for stress testing and load. Its primary objective is to deliver a consistent user experience at any time. It can create an environment of battle ready and can be massive withstand at any time.

LoadUI pro:

Efficient load testing can be possible with the loadUI pro by itself against APIs and also run SoapUI protests in multiple steps. The test load workflow at the one-off endpoint is simplified by the loadUI pro.

Load view:

Load view is the tool that is used to test the website from outside of our network. Multiple test scenarios can be created, and also many users can be scaled. Without managing the hassle of hardware, we can design the load test. When we want how many users can handle the system in that particular situation load test is used.

StresStimulus:

Non-premise powerful performance testing tool which tests stability and web app speed and emulates the conditions of website operation is known as stress Stimulus. It is also a load-testing tool for enterprise apps, websites, and mobiles.

Neoload:

Neoload is the performance testing tool to eliminate the bottlenecks in our mobile applications and websites. This tool is developed by Neotys. It is the only tool that covers IoT apps, mobiles, microservice architect apps, and cloud-ready apps.

ORION:

ORION (Oracle IO number) allows measuring input/output storage system performance without installing Oracle. It is specially designed for predicting I/O bottlenecks and stimulation. ORION is developed by a Swedish company and is an application of JavaEE.

Apache JMeter:

Apache JMeter application is designed to measure the performance and functional behaviour of the load test. Both static and dynamic resource performance can be done by using Apache JMeter. SOAP / REST Web services, TCP, Java Objects, LDAP, FTP, and Message-oriented middleware, are the features of Apache JMeter.

Smartmeter.io:

Smartmeter.io is a desktop application that was created to cover all load testing needs and their performance. CI/CD ready, Scriptless test, and GUI test run are the features of Smartmeter.io. It is available for Linux, Mac OS, and Windows.

Apploader:

The stimulation of different kinds of users for any number of users can be possible with the Apploader tool. It is for ANY application load testing and functional performance. It ensures the readiness of the application and is a highly affordable test tool.

Rational performance tester:

The tool identifies the presence of performance bottlenecks and the causes of the system. It is developed by IBM Corporation. It is the execution and test creation tool that helps to develop reliability and scalability.

Conclusion:

Performance testing reduces the downtime risk. Benchmark testing is useful to get a quantifiable, repeatable set result and is also used for mobile applications whereas capacity planning is handled for sessional demands with proper forecasting with suitable plans. Several tools are used to perform performance testing efficiently and rapidly.

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