11 Jul 2018
03 Oct 2017
The world is getting more and more connected with each passing day. It is believed that around 30 billion independent things will be connected to the internet by 2020. Now, with this pressure to move at a greater speed, the biggest stumbling block is to identify how to build a continuous approach to testing across multiple channels of engagement.
The consumerization of IT is changing the way applications are being developed. Rather than building a single, monolithic system installed on a server in a back office, modern applications are distributed within mobile devices and web browsers so users can gain access to services from anywhere and at any time. Modern applications are no longer autonomous; they comprise several service components tied together at runtime.
As a result, the end-user experience is not driven by the well-designed user interfaces we all use, but by application programming interfaces (APIs) that expedite interactions between applications, code modules, and back-end systems.
The API is the intelligence behind this connected world. APIs allow companies to become more agile, and to work together in an integrated manner. However, while testing APIs, testers face several units of work, making it challenging for the testers to test the APIs. Below are the four major challenges experienced while testing APIs and our suggested solutions.
Use case propagation
Traditional UI testing is limited to the testing functionality of the overall application. A tester construes the output against expected outcomes after exercising an input. However, API testing follows a different approach. Being the central hub of logic and the gateway to data for interfacing applications, use cases are near-infinite in API testing. Consequently, the number of required tests rapidly exceeds the competences of the technical staff responsible for test case design.
Access to connected systems
APIs pull data from multiple APIs and back-end systems, in which the resulting architecture looks like the roots of a tree extending wide and deep. Thus, it’s impossible to have access to every environment on this tree. The emulation of inaccessible resources is the key to avoiding testing bottlenecks. However, the old way of building custom mocks is proving too challenging. Besides, they cannot emulate race conditions for comprehensive performance and load testing.
Synchronous and asynchronous methods
Modern applications are intricate, and one API can link several microservices and other APIs. Accordingly, a single call on an API can prompt ‘n’ number of serial and parallel activities. The intricacies of an API can thus grow exponentially as it is combined with other API calls. And this complexity multiplies as testers feature in the calling order of APIs in test case design. Consequently, testing APIs must be managed in both separate and nuclear units of work.
Versioning is a primary cause of rising complexity in API testing. Most systems have a degree of depreciation, which should be managed by an API with the help of versioning. The API must identify missing values and allocate some default to allow the old version to work. Moreover, it can be the case that some versions are called by some versions but not others.
To overcome the above-listed challenges, a modern approach should be adopted that enables you to automate API tests and integrate them into a continuous delivery cycle.
Phase I: Integration level Testing
The integration test phase will focus on service interfaces and will make sure interface behavior and information sharing are working as specified.
Phase II: Process/Orchestration Testing
This phase covers:
• Business logic
• Exception handling
• Process decomposition (including service and process reuse)
Phase III: Security and Governance Testing
In this phase, SOA / API is combined with Government and Regulatory compliance, which is incorporated into the entire project life cycle. This phase comprises Quality of Service policies on Performance, Security, and Transactions.
• Regulatory policies
• Business policies
• Audit policies
• Infrastructure policies
Phase IV: System Level Testing
This test phase will cover whether the technical solution met the defined business acceptance criteria.
TestingXperts is proficient in a wide range of API protocols such as XML, SOAP, JSON, REST, Gdata, YAML, ATOM, RSS, and RDF, etc. Our end to end applications validation experience at various layers of the application helps in executing a successful API. Our expertise in leading industry tools for API testing for functional, load and security testing allows us to automate API test cases.