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ACCELQ vs Copado – A Snapshot

ACCELQ is full-blown enterprise-level test automation platform Light weight keyword-driven framework with shallow product interface.
Powerful natural language editor allows you to write test automation logic in plain English. Ensures design-first approach with inbuilt modularity and reusability Lengthy Text pad-based Test Editor where modularity and reusability become a challenge
Referential integrity across test assets. Embedded asset collaboration and management for Smart Test Plans & Governance Organizing assets become impossible.
Powerful & intelligent element capture technology creates robust automation. AI-powered Self-healing capabilities. Element handling, besides text-based elements, is complicated and does not serve real-world use cases.
Dynamic live results views with actionable reports to trigger reruns Execution reporting is primitive.
No coding needed, no matter how complex and dynamic your application. Enable the entire team to automate without the need for programming. Need a simple conditional statement? Go-to programming!
Test development exponentially accelerates when scaling up automation and maintenance significantly reduces when scaling up automation Test Script development becomes complex and slow when scaling up automation and Maintenance significantly increases when scaling up automation
Seamless extendible approach for Web-Mobile-API in one codeless flow Limited unified automation capabilities. Automating Web, API, Mobile in the same flow is not possible.
Powerful Test Management Platform with end-to-end capabilities No Test Management capabilities
Test Assets are end-to-end aligned with platform vendor Releases. Live updates on new Releases by vendors. Support is static in nature. Requires tool upgrade to support anything new.
SaaS based multi-user collaborative platform on cloud with In-built version control Not a collaborative multi-user environment. Requires connecting with GitHub for version control.

Why ACCELQ is a better alternative to Copado?

Test Design

Universe-based visual Application modelling Not available
Test scenarios are modularized into Pages and User Actions Tests are created using a record and playback visualizer or using Keywords/pace words challenging to remember
Page objects are naturally & automatically centralized across test scenarios Object property identification and Name mapping are not centralized.
Design is enforced with intuitive and automatic universe concept Design is manually implemented, and complex use case automation is limited
Data-driven scenarios and Test Case data are inherent to scenario design Data-driven is a disconnected step once the test case is automated and adds overhead
Parameterization with design alignment to input, environment, run-time, linking and more Technically oriented variable concept defined after the test case is defined, which reduces modularity. Test Data parametrization is not straightforward.

Automation Development

Codeless natural English coupled with recording Tests written using basic record and playback mechanism or keywords
Logic editor provides readymade conditional rule validations, loops, etc. for real-life tests No logical constructs such as conditionals, loops, etc. Complex validation support is limited.
Logic editor provides seamless transition from UI to Mobile to DB to API to File etc. Less customizable Test flow options. Test script Editor is too long, containing all the test cases. Difficult to edit and maintain.
AI-based robust object handling and self-healing (works seamlessly with Angular, iframes, Shadow DOMs, charts, SVG, canvas, etc.) Traditional object interaction with limitations to handle complexity and newer tech stacks.
Behavior-driven predictive test designer for fast test creation and reusability Limited reusability capabilities and designing overheads
Automated and AI-based reconciliation for UI and Object changes No centralized handling, No reconciliation
AI-driven data permutations auto-generate test cases providing accurate coverage Not available
Capture the structure of test data based on business semantics. Ensure data abstraction is consistently driven across test scenarios. Not available
Seamlessly manage multiple variants of test data suitable for different test execution environments. Not available
Cloud-driven automatic extendibility to newer tech stacks (UI controls, DB, Mainframes, Files, etc.) Limited Extendibility capabilities and integration setups are not seamless

Automation Execution

ACCELQ Reports provide a functionally rich interface to test execution results. Primitive reporting
Docker support for Agent farm expansion with dynamic scalability and parallelization Not Available
Integration with 3P cloud infrastructure farms like Saucelabs, BrowserStack, LambdaTest etc. Limited support with technical setup requirements.

Change Management

A naturalized model with referential integrity across pages, test steps, objects, and suites. Automates the change impact process efficiently, propagating changes across test assets. No referential integrity possible between test assets
Objects are centrally managed in correlation with Application pages, and object changes are automatically reflected across all tests Objects are managed in a library manner that does not relate back to the common shared mode
Collaborative platform on the cloud with real-time sharing, version control, branching with intuitive design not requiring any special training or "source control" management skill Offline repository for black-box script database. Requires maintaining a separate source control system and related operations. New platform will require new keywords to be coded

CI/CD & Tool Integrations

Bi-directional and Natively built synthesizer for Traceability tracking, coverage analysis, and requirements-based Test suite planning on a modern Web Interface on the cloud Technical level integration with no clear visibility
Two-way Defect creation, synchronization, and status tracking for complete suite management Database level duplicate data synch with no suite management views and portlets
CI job execution with pre-set configurations automatically executes test suites. Adapters support Jenkins, Team City, Bamboo, AzureDevOps, AutoRabit, Copado, Command line API, etc. Technical integration needs synch rules with overheads.
Workflow orchestration with CI workflows One-way test execution trigger with minimal feedback

Automation-first capabilities ( In-sprint& Shift-left )

Application functional abstraction Not available
Design & author tests parallel to Application development enabling true shift-left Not available
AI-based reconciliation of abstraction Not available
API, DB, and middleware Automation with UI Available with complex engine module, not seamless

Technology Extendibility

Open concept of user extensibility to expand the scope of the existing technology stack, as well as build-import to extend for new technology stack Engine based concept requiring a very specialized skill set
Cloud-based community expansion significantly rapid Offline concept duplicates effort and high overhead, and dependency on support
No impact from upgrades and no operational responsibility on the customer Needs migrations and upgrades

Governance & Reporting

ACCELQ's app universe and analytics-based algorithms drive automated Test Planning ensuring coverage No intelligence in test planning and suite creation, folder style traditional planning
Dynamic live results view with actionable reports to trigger reruns No Dynamic Live results. In-depth action results are viewable only at the end of the run.
Embedded screen captures are directly associated with automation interactions Screen capture is not mapped to each step, making error identification difficult and time-consuming.
Umbrella style rerun capability for suite re-executions and roll-up tracking Not available

The ACCELQ difference

Simple to adopt and elegantly designed, with the power to give your testing real acceleration

API and UI automated in the same flow

Unique capability to integrate API and UI testing in the same flow, enabling true end-to-end validation without handoffs. API testing at the same simplicity and regression maturity as UI automation.

Automated test case generation and data planning

Design your data behavior on a canvas and let ACCELQ take care of automated test case generation with proven risk coverage assurance. Centrally manage data changes without impacting test cases.

Seamless CI/CD integration and natural traceability

Native integration with CI/CD tools such as Jira, Jenkins ensure test automation is integral to development lifecycle. Traceability is redefined with the intelligent, connected test repository.

Salesforce Release

Being an ISV partner, ACCELQ is aligned to Salesforce releases to ensure smooth Salesforce upgrades with robust Automation testing

Automation Support

Automation support for diverse technology stack for end-to-end Salesforce process validations

In-sprint automation without need for programming

Develop automation test logic in plain English, concurrently with application development. Address in-sprint volatility with intelligent change management and powerful reconciliation engine.

Enable manual testers to automate testing

Powerful natural language editor allows you to write test automation logic in plain English. Design-first approach on UX driven platform allows manual testers to scale up without learning curve.

Visual application model for lifecycle automation

ACCELQ’s Universe is a visual blueprint of your application and drives automation across quality lifecycle with business process focus. Develop test scenarios with predictive analytics.

Self-healing autonomic test automation

ACCELQ’s analytic runtime engine ensures a reliable test execution by intelligently adapting to unexpected application changes. Design-first approach ensure Robust element ID based on AI.

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