The importance of Agile, around the globe, has been increasing minute by minute, thanks to the increased efficiency of Agile Tools available in the market.
To start with, let’s have a quick glance over everything Agile. When we talk about Agile, we are actually referring to a repetitive and progressive approach that’s aimed at aiding product development teams to stay aligned with the workplace demands. This concept segregates itself into various methodologies that are each driven by different aspects such as versatility, transparency, quality, and constant improvement.
Agile methodologies prove helpful to businesses by offering top-quality deliverables, less risk of overlooked objectives, higher stakeholder engagement, greater satisfaction, and more. Wondering how? Well, Agile methodologies cast aside the risk of dishing out a number of months on any process only to see it collapse just because of a minor error at an initial phase. Rather, it depends on the teams to operate in direct connection with end-users in order to identify their goals and offer relevant solutions in a timely manner.
Going a layer deeper, it could also be known that in agile software development, the prime focus is on creating the ideal product as per the needs of the consumers. To achieve this, Agile testers are required to check and monitor their projects on a regular basis. How? With the help of the Agile Tools. Let’s know about these tools and many other Agile trends in the receiving section.
The noteworthy listicle: 4 leading agile trends
Agile tools that are celebrated across various domains
So, if it is believed that the Agile methodologies boost performance and deliver user-desired products by adhering to the ever-changing workplace events, then what also stands true is that Agile tools support the same by enabling faster response times to such changes.
List of Agile Trends Based Tools
| Agile Tool Name | Domain | Features |
|---|---|---|
| Asana | Automation |
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| Active Collab | Team Management |
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| Scrumpy | Team Communication |
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| Axosoft | Customer Management |
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| Pivotal Tracker | Onboarding |
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| Kantree | Customized Workflow Creation |
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| Forecast7 | Administrative |
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| Simplyfy3X | Software Test Engineering |
|
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How does artificial intelligence play the main character in agile?
When talked about the present times, it could be perfectly witnessed that Artificial Intelligence has been playing a vital role in businesses and sectors worldwide. It is since the advancement of technology took place, that Artificial Intelligence has been revolutionizing all the business areas, whether it be operations or production. All thanks to the varied IT systems and development processes that it fosters.
Businesses have found AI and ML as their rescue partners as they stand unparalleled when it comes to building and developing models and locating different trends. And how do they do it? Well, by collecting the vast vessels of information generated by CI/CD systems, or in other ways.
These intelligence models not only detect anomalies but also are capable of predicting breakdowns and offering remediation, thereby enabling businesses to attain the next-level performance in building autonomous systems that are performance-efficient.
Here, we bring you a quick look at the different ways that AI may assist in Agile Software Development –
1) Strategic Planning Done Right!
What do business stakeholders desire the most? Applications that are decked with fresh features are capable of addressing issues in a prompt manner. Inputs are obtained in a variety of organized and unstructured forms as a result of continuous planning, such as product or service requests, issue tickets, customer feedback, surveys, and market assessments. These inputs are evaluated on a regular basis, then converted into user stories and added to the product backlog.
On the other hand, there are certain unstructured inputs like emails or audio clips and phone conversations, or even online comments. These can be interpreted using Natural Language Processing (NLP).
Ever wondered what’s the end benefit? Well, it assists in better capturing the user’s requirements and pain points. Moreover, these data may also be aggregated and summarized to give insights to product owners and other business stakeholders, as well as to plan and prioritize additions and issue fixes for future releases.
2) The Power Of Continuous Integration!
When it is about Continuous Integration, it is all about combining codes from different developers to practice incremental builds on a regular basis, so as to decrease risk. A chatbot with Natural Language Generation (NLG) capability can assist trigger on-demand and giving customized warnings and messages in the case of faults or failures. In addition, historical data from previous code modification builds, and logs may be analyzed to reveal trends and indicate hotspots for preventing future errors.
What else? It could be rightly known that static code analysis and unit testing are two more key procedures that can benefit from Artificial Intelligence (AI). Once launched in the background and completed after a developer submits the code, the code analysis findings may be sent into a conversation engine. It may convey the findings using a text summarizing engine converted to speech, recommending the developer to improve the code quality before testing.
3) Testing Seamlessly For Success!
Testing has always been a crucial factor for businesses, as it gives a clear picture of what’s going wrong in the whole process. Artificial Intelligence, as we know, is apt in test execution and reporting, but it may also aid one with less visible but critical auxiliary functions in the quality assurance (QA) process. For instance, during the testing process, test engineers can employ an intelligent assistant to automatically identify defects and detect any duplicates. This has the potential to significantly enhance the defect triaging process, which is currently inefficient and time-consuming.
Logs from failed tests may be evaluated to identify recurring patterns, allowing models to be developed and trained to predict failures in future test runs. For systems in production where most test cases are already available, NLP may be used to convert test cases into scripts that can be directly fed by popular automated testing frameworks like Selenium or Appium. To save time and optimize regression testing, comparative tests can be arranged into clusters based on patterns derived from semantic similarity and a history of success or failure.
4) Continuous Deployment In Just A Click!
Yet another dimension wherein AI plays a vital role in Agile is the aspect of Continuous Deployment. Technology has played a substantial part in automating software deployment, right from the days when deployment operations were manually begun using handwritten scripts to today’s single-click multi-stage automated deployment.
Despite this advancement, many firms continue to have poor and sub-optimal deployments with recurrent rollbacks, resulting in delayed launches and revenue loss. Artificial intelligence (AI) can aid with installation complexity while also cutting failure rates.
5) Continued Feedback and Quality Monitoring!
It is definitely your failure when you deploy a product or solution and overlook the relevant acumens from your clients, or miss to practice quality monitoring. Product owners, quality assurance (QA) specialists, and development teams may monitor production releases to check how the apps are running and being used.
Be it applications, solutions, systems, tools, or other network components, they all generate loads of data every passing second. These may be generated in the form of alerts, problems, logs, events, and metrics. Artificial Intelligence (AI) may help extract insights from this massive data collection by using supervised and unsupervised learning to develop trained models. These models can assist in detecting anomalous behavior that may result in security issues and failures.
Not only these, but there are also several intuitive challenges across the system such as emails, text messages, and voice-based interactive conversations, which provide direct feedback on end-user problems and that too at a tremendous scale. This feedback and usage patterns may be examined to enhance sentiment and usability assessments, as well as get a more in-depth understanding of the customer’s experience with the product or service. Finally, the findings of this research may be utilized as a critical input for perfective maintenance or the creation of new user stories to improve the user experience.
Looking for reliable software development using agile methodologies for your project?
The ultimate combo for your business growth!
DevOps with Agile is one of the next best Agile Trends. The much popular and widely accepted combo of Agile and DevOps is the one that equally satisfies everyone from developers to management personnel. Nowadays, development teams are witnessing gap closures at a speeding pace.
The teams are more open to new technologies and working methods. It is common knowledge that application development and integration are critical components of every corporate activity. Businesses are able to accelerate the speed of software development, integration, and innovation by leveraging DevOps and hybrid cloud architecture underpinned by Agile software development practices.
DevOps is responsible for fostering a more collaborative, productive interaction between the development and operations teams in order to achieve smoother, faster development cycles with lower production risks. Other advantages of DevOps include transparency and fewer defects to address, which equals increased productivity.
Integrating DevOps and Agile Brings In A Bouquet Of Benefits Such As –
- Streamlined releases
- Product offerings with top quality
- Optimized teamwork
- Releases with greater worth and fewer risks and challenges
- Fewer bugs and quicker fixes
- Enhanced visibility
- Customer loyalty
Are You Planning to Integrate DevOps & Agile? Here Are A Few Points To Note Down –
Agile Trends brings you DevOps & Agile Integration, which further brings you a broad gamut of merits…
Teamwork That’s Smooth As Silk:
Want that your developers get an in-depth understanding of different development variables? DevOps architecture with an Agile methodology will solve the purpose as it is known for its transparent communication aspect.
Decoding The Software Lifecycle:
Looking for steering towards fewer modifications and mistakes in SDLC? DevOps stands to be the best fit as when adopted at the start of the development cycle, it saves time and resources for all team members. DevOps and Agile collaborate to improve consistency and expedite the product or service to market.
DevOps + Sprints = Excellent Output:
Agile workflow follows the trend that the software development process is segregated into numerous sprints for better clarity and output. In such a case, integrating DevOps management while managing sprints proves to be crucial.
Quality Delivered As Assured:
When merging DevOps and Agile, QA/Quality assurance is a must. Testing often eliminates the risk of mistakes at every level. This enhances the software’s performance and load testing. Continuous development results in shorter release cycles and shorter time to market.
The Benefits Of Service Backlog:
When merging DevOps with Agile, service backlogging is essential. The following aspects must be included in a DevOps structure:
- Integration and Scalability of Software
- Service monitoring
- Logging Alert Configuration
- Testing Capability
- Details on security and compliance
- Performance in operations
The Edge Of Process Automation:
When combining Agile with DevOps, process automation is strongly encouraged. Any possible flaws will be eliminated by automating code scanning procedures. To make release cycles easier, artifacts should be saved in a repository. This increases overall team productivity and reduces the possibility of mistakes.
Key Metrics Determination & Analysis:
After implementing Agile and DevOps, you must monitor key metrics to determine the workflow’s success and progress. This will also aid in the establishment of several successful release cycles. At the same time, it is time and cost-effective.
We have curated an ultimate guide on how to combine DevOps and Agile.
By adding efforts in combining Agile and DevOps management in the right way, you will see how it can improve development process and deliver results in reliable, scalable and maintainable applications.
Detailed insights into scaled agile framework
The Scaled Agile Framework is a method for executing Agile, Lean, and DevOps concepts at scale, hence it takes the place in the list of top four Agile Trends. It is, as the name indicates, a framework that may be used to assist firms in adapting their agile processes and workflows as the organization evolves.
It may be utilized by firms that adopt Agile frameworks like Scrum or Lean, as well as organizations that want to grow their DevOps operations to support the organization. SAFe may assist firms in aligning development and project teams in order to effectively offer value to consumers. The SAFe framework can assist enterprises in this situation by adjusting agile techniques to cater to more than one agile team.
The Significance of SAFe For Your Organization…
SAFe, like any framework, provides companies with a roadmap (or guideline) to support them on their route to growth. SAFe offers businesses a pathway to follow that presents the framework from the lower team level all the way up to upper management, or the portfolio level or program level. Along with the plan, companies can participate in specific training. SAFe also provides training and a comprehensive knowledge base for specific agile positions such as Scrum Master, Product Owners, and Architects, as well as for the entire agile team.
The future of your business with the agile trends is secured!
Agile is undoubtedly the most common technique to project management in the IT business, but because of its gradual and iterative character, it has found fresh acceptance in other industries. Furthermore, as a result of COVID-19, Agile has become the sole sensible approach to accomplish work, even in conventional businesses. Agile is poised to transform workplaces and operational models as more individuals expand their exposure.
We definitely live in an era dominated by effective, robust, and scalable business processes. To keep their teams working smoothly, project managers employ all of their toolkits, including Agile Scrums. This further helps them measure the initial phase of the business cycle, the market demands, and design thinking concepts. As a cherry on the cake, there’s AI and Machine Learning as well that expedites testing and provides a quicker time to market.
Being unprepared for what lies ahead invites hardship and disadvantage. Whether you’re a seasoned Agile worker or a newcomer in the domain, staying on top of these emerging Agile trends is critical for career advancement. With so many resources at your disposal, investing time in learning about how Agile is evolving in the workplace can better prepare you for higher rewards and chances for success.
More About Author
Vishal Nakum
Vishal Nakum is a tech enthusiast with a passion for exploring the latest developments in the world of technology. He has a keen interest in emerging technologies such as Artificial Intelligence, Machine Learning, and Blockchain, and enjoys keeping up-to-date with the latest trends and advancements in these fields. Vishal is an avid learner and is always on the lookout for new ways to expand his knowledge and skills. He is also a creative thinker and enjoys experimenting with new ideas and concepts. In his free time, Vishal enjoys playing video games and reading books on technology and science.