Introduction
In
the year 2024, the software testing industry will evolve continuously with
rapid growth. As the technology progresses, innovative & unique
methodologies are emerging with the software technologies. For any
organization, staying up to date with the current trends is necessary.
Organizations must receive top-tier software quality. The most popular trends
to anticipate this year are Machine learning, Artificial intelligence,
cloud-based testing, testing automation, and other security aspects.
Organizations
can foster software quality by streamlining their operational process.
Salesforce testing & quality assurance is necessary for any of your
software projects before release. If you leave any bug in your software, it can
lead to maintenance costs & damage your organizational value. Through
Salesforce automation testing, a business can improve its test efficiency &
minimize the cost of the overall projects. For more testing trends, read the
blog till the end.
The
Evolution of Salesforce Automation Testing
Automation testing has become a necessity in any software development
lifecycle. Testing is necessary to identify errors in the application. It helps
the QA testing team to take proactive action to ensure the functionality of the
product throughout the testing cycles. The automation trend 2024 describes why
organizations need to hire a testing team to accelerate the testing strategies
& understand the roles of technologies in diverse fields.
The market of automation testing size is expected to reach 32.08
billion in 2024 & expected to reach 67.48 USD billion by the year 2029. The
testing automation trends we are discussing in the below section not only guide
the testers but it is also helpful for the software products that meet with
security, quality & regulation compliance.
In
the year 2023, we all witnessed the unstoppable trends of software testing,
such as AI & ML. Well, as the industry grows and reaches 2024, we have
discovered some more trends in software testing. The necessity of fostering
quality software has moved to a new level with the regular assessments of
technology. The market is filled with an array of software testing applications
that make every organization stress-free when releasing an application. In the
section below, we have covered the best testing approach and viral automation
testing trends.
Trend #1: AI and Machine Learning Integration
AI Salesforce testing leverages automation techniques &
machine intelligence to accelerate the efficiency, effectiveness, and accuracy
of testing. This testing involves multiple AI algorithms & techniques for
analyzing the information and assessing patterns to craft an intelligent
decision. Integration of ML algorithms allows systems to read the patterns
& encourage predictions based on historical data.
Integrating AI and ML in automation
testing lowers manual efforts, fosters testing, and detects
errors earlier. Involving AI in automation improves the creation of test cases
and executes and maintains them. The AI-powered frameworks optimize user
interactions & craft robust testing scenarios. Let’s explore some benefits
& challenges of incorporating ML & AI.
Incorporating AI & ML in salesforce testing not only
accelerates the efficiency & scalability. Integrating multiple AI
strategies helps to track data, identify bugs, and make intelligent decisions.
Through ML, businesses can enable the system to understand the patterns &
make historical data based on them. QA team can enable the business to detect
malfunctions and foster testing. Generating the array of test data for your
Salesforce apps is necessary for testing, and with the integration of AI &
ML, businesses can achieve this.
Trend #2: Shift-Left Testing Approach
This is one of the key automation trends that is going viral in
2024. The shift left testing incorporates the execution of automated testing
against the code changes during the lifecycle of software delivery. This
approach is enabled with the CD/CI pipeline integration, which makes tracking
bugs easier.
The DevOps team experts always prefer this testing approach in
the software production lifecycle. In addition, the shift-left testing approach
fosters collaboration between testers and developers. The shift-left testing
approach involves different testing scenarios such as Unit testing, integration
testing, UI testing, and Contract & API testing.
This testing isn’t an automation approach, but it ensures that
the testing engineers can do better. During the initial lifecycle of software
development, the following testing closely tracks the activities. It reduces
the effort & time which is required to fix bugs. The testing activities
should be performed as early as possible during the development procedure.
Investing in this testing approach allows efficient and frequent testing at a
minimum time.
Automated testing allows businesses to conduct efficient and
frequent testing of software. Shift-left testing helps businesses with security
testing, exploratory testing, and performance testing to verify the application
is meeting all the regulatory standards.
Trend #3: Increased Adoption of Low-Code Testing
Tools
Low code automation testing is a tool that has been helping
experts craft applications utilizing basic coding knowledge. Automation testing
with low code is the modern and smart approach to eliminating the requirements
of writing scripts for execution. This testing type enables the testers to do
application testing by detailed planning, executing, and generating end-to-end
tests. These testing types are straightforward to utilize. Coding is required
for this testing when automating complex test cases.
Because low-code automated testing is simple to create, it
boosts agility. It demands fewer programming skills and enables executives or
testing teams to implement agile modifications to workflows without worrying
about modifications in specialized code. As a result, the implementation,
building, and testing processes take less time.
The team's total productivity rises by utilizing this testing
technique. Testing with low-code automation offers a special chance to improve
the responsiveness and scalability of software. Businesses are adopting
Low-Code/No-Code platforms at an accelerated rate due to growing needs. This
method of automated testing enables employees to simplify more tedious,
error-prone processes that can improve the business value.
In addition, the No code/low code testing approach delivers lots
of flexibility & real-time experiences to identify the problems. Enhance
your application quality by integrating Low code automation testing with AI
& ML.
Trend #4: Continuous Testing and Integration
Continuous integration is the process of implementing
modifications as soon as possible, ideally many times a day, from various team
members' contributions to the mainline. This ensures that there isn't an
excessive divergence in the code that different engineers work on. Reliability
in your code may be achieved with continuous integration when combined with
automated testing.
This testing is the same as continuous integration. Continuous
testing is all about keeping an application deployable. Several commercial
products and devices are available for recognizing and correcting injections
that are frequent at the code static level.
Well, many development & testing teams fail to find
qualified personnel who can track and prioritize serious vulnerabilities,
especially those that can only be activated in runtime conditions. There are
businesses that keep their eyes on malfunctions and try to recover them
manually by collaborating in security testing during development. However,
following this can lead to major problems & delays.
By utilizing the current continuous integration (CI)
technologies to catch problems beforehand and reduce expensive time and effort.
Ongoing testing assists in monitoring testing for logical mistakes or security
vulnerabilities in applications, microservices, and APIs.
Accepting automation is a major component in enabling efficiency
and speed, as many firms are implementing DevOps and DevSecOps. A significant
game-changer in the Salesforce environment is CI/CD. It is the foundation of
DevOps, assisting teams to accomplish more rapid, sustainable development &
deployment cycles.
Trend #5: Test Data Management (TDM)
Nowadays, the developers also utilize test data management for
validating & optimizing application functionality that includes basic user
paths & corner cases. When the developers use realistic testing data, the
error conditions are also defined. You require immediate availability of
realistic test results to keep the application's testing from being sluggish
and to preserve the validity of references. A method for creating and managing
suitable and safe datasets that your organization may utilize for functional application
validation across several teams is test data management or TDM.
The test data experts face multiple backend operational
challenges that require the testing data to verify the robustness. When an
array of people share the test results, the team may find the risk of someone
who modifies & makes them unusable by others. Developing duplicate datasets
for the individual's software is the way to get rid of this issue. There are
multiple benefits of utilizing test data management techniques in software automation
testing.
Organizations that integrate test data management into
salesforce automation testing can generate meaningful data. It allows the team
to access & store the data for processing the seamless data management
tests. Now, organizations can access the data they require with easy clicks on
web-based portals. There is no requirement for the database administrator to
generate data.
You can't get ideal test coverage without suitable test data,
but you also need to make sure that the test data is free of confidential data
that might cause a danger. To thoroughly test all the parts of your code, you
need data that is realistic. However, good data is challenging to access, and
therefore, certain aspects need to be considered while processing the testing.
Trend #6: Enhanced Focus on Security and
Compliance Testing
Security testing is necessary to verify whether an application
is vulnerable to malfunctions and cyber-attacks. This testing verifies that the
application is reliable and safe. Any businesses that are going to release
their salesforce system soon must take their business through security testing
to ensure the application does not accept unauthorized inputs.
The security testing approach is a kind of non-functional
testing. The functional testing approach involves testing that only tracks
whether the software is functioning properly or not. The non-functional testing
approach is necessary for verifying the application is designed &
configured ideally. Compliance testing is also considered conformance testing.
Taking an approach to compliance testing is necessary for
ensuring the organization's simple digital transformation. Currently,
businesses strive to use this approach to ensure that the application they are
going to launch matches the necessary standards and regulations. Global
compliance testing becomes a strategic process that enables companies to match
regulatory specifications. It ensures that your application is leveraged with
all the necessary components that harness the potential of digital
technologies.
A security testing approach is necessary for tracking the
assets, threats & vulnerabilities. When a business wants to launch an
application, it must ensure that there are no activities present that cause
errors or leak users' data when attacked by hackers. This approach is necessary
for tracking the risks and offering guidance for recovering from the
vulnerabilities. Security testing is carried out by following approaches such
as black box testing and white & gray box testing.
One kind of compliance testing includes checking software to
meet with the GDPR compliance. It entails creating test cases to ensure that
the software complies with GDPR for handling personal data, including obtaining
permission to process information and implementing data security measures.
Trends for the Future of Automation Testing
After
going through the above-discussed trends, in the section below, we have
measured some more trends for the future of automation testing that will expand
in the upcoming years.
●
Increasing adoption of data analytics
Salesforce
has had significant success with data analytics, and by 2024, sales personnel
will have gained closer to comprehending and using customer data in their
objectives. Sales professionals will be able to observe customer behavior to
tailor customer experiences and raise user engagement rates by placing an
increased focus on data science and analysis. There will be more data-driven
decision-making as this trend develops, which will make it simpler to identify
company strategies.
●
Integration of IoT in automation testing
Companies
are already under stress to effectively utilize IoT solutions. Salesforce aims
to further expand its reach into IoT devices by 2024, ensuring effortless
connectivity with the Salesforce platform. Businesses may drastically reduce
operating expenses and optimize operations by implementing Salesforce IoT to
create personalized chatbots and more intelligent offerings.
Salesforce
is anticipated to improve its commercial capabilities in 2024 and is now
working on IoT Cloud. Chatbots are helping clients, and this practice is only
going to get broader in the future. Salesforce is concentrating its efforts in
this area, empowering companies to automate tiresome customer service tasks and
offer the personalized attention that today's consumers want.
●
Broader approach for Blockchain testing
Automation
testing is becoming more and more necessary to ensure the reliability,
productivity, and accessibility of blockchain installations. Now, more and more
businesses adopt this technology. It has become one of the biggest developments
in automated testing in 2024, and it focuses on verifying that blockchain-based
apps are secure, effective, and operate well. Automated testing offers perks,
including enhanced test coverage, quick verification of decentralized systems, and
reinforced security measures by guaranteeing the complete verification of
essential components.
●
DevTestOps Approach
Although
DevOps has become popular for a while, DevTestOps is a current trend. DevOps
supports companies in the fast and efficient implementation of enhancements to
the system. However, regular evaluation is crucial to guaranteeing the best
possible deployment quality. It ensures that the system updates will be
deployed with excellent quality. It is anticipated that DevTestOps will accelerate
and improve the quality of testing.
●
Integrating automation testing with 3rd party
tools
Salesforce
is expected to have a substantial increase in third-party tool integration as a
result of the increasing amount of integration with external tools. The platform
already has this feature accessible. However, to further develop its existing
offering, Salesforce aims to collaborate more with other relevant technologies
by 2024.
To
guarantee that there are various interfaces for third-party solutions, such as business
intelligence and automated marketing, Salesforce is putting a lot of effort
into its Sales and Services Cloud products. Well, it is expected that the
popularity of collaborating 3rd party tools will rapidly grow in the
upcoming years.
●
Automated testing
As
the process becomes more sophisticated, manual testing is becoming more
difficult. Salesforce automated testing could enhance testing efficiency,
precision, and coverage in certain cases. Salesforce's automated testing
minimizes mistakes from manual testing and guarantees that applications are
evaluated and corrected for flaws within a predetermined time limit.
Empower
Your Salesforce Journey: Embrace the Future of Automation Testing Today!
In 2023, automated testing trends saw a significant and
continuous expansion of AI/ML in a variety of commercial and technological
domains. AI-powered solutions, which include ChatGPT, are now more widely
available. Because of its broad appeal and the significant investments made in
AI, firms from a variety of sectors are now adopting the revolutionary
potential of AI/ML.