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Chatbot Testing Frameworks to Put into Practice in 2021

Some Statistics about Chatbots

  • Chatbots will manage 80-85% of customer interaction in 2021.
  • Chatbots can cut operational expenses by up to 30%.
  • About 64% of internet users admit that the best feature of chatbots is 24-hour service.
  • 50% of business owners plan to spend more on chatbots compared to mobile apps.
  • 37% of individuals use a customer service bot to get quick answers in an emergency.
  • There were more than 300,000 chatbots on Facebook in 2018.
  • 70% of Millennials report positive chatbot experiences.
  • The healthcare, education, travel, education, finance, and real estate companies are profiting the most from chatbots.

In this article, we have prepared a list of top Chatbot testing frameworks that you can consider in 2021 to reduce chatbot failures.

Chatbot Testing Frameworks/Software

1. Chatbottest

Chatbottest is an open-source framework that is specifically designed to resolve chatbot’s design issues under seven categories that are:

1. Personalization

Gartner predicts that individuals will have more conversations with chatbots than their spouses. In the future, the work of chatbots will not only respond to questions. They will think, talk, and draw insights from knowledge graphs. They will build emotional relationships with customers.

Personalization is vital in chatbots because the goal is to make the user feel more understood and make their life convenient. Instead of allowing users to obtain the information through emails or websites, your chatbot should help them find their desired information. Does the chatbot have a clear tone and voice to meet the user’s demands at the time of ongoing conversations? With Chatbottest software/framework, you can improve the user’s experience of chatbots with the personalization feature.

2. Understanding

Does the chatbot understand idioms, emojis, requests, and small talks? Technically conversation is a method in which two speakers exchange communications with each other through meaningful sentences. This back and forth exchange is called dialogs. Chatbots are based on a similar concept. Therefore, it is necessary to test the conversation flow while performing chatbot testing.

If you’re a chatbot tester, you can test the conversation flow by including happy path situations (usual talks) and negative path situations (unexpected talks) to the conversation flow. You can also test the bot’s behavior by adding “Yes” (approval) and “No” (denial) expressions. For example, small talks are a casual conversation between the bot and the user.

User: How are you?

Bot: Thanks for asking. Great as always.

It is possible to perform the testing by adding small casual talks to analyze chatbots’ understanding capability. A collection of short talks can enhance a user’s experience when having a conversation with the bot. Instead of redirecting the user to a fallback response, small talks make the bot more conversational by providing answers to casual conversation topics such as jokes or greetings.

3. Onboarding

Do your users know about chatbots? How they interact with it from the beginning. Customer onboarding is vital as it helps businesses generate revenue and aims to enroll new customers for buying products and services quickly.

HR professionals face various challenges during employee onboarding, such as exhaustive documentation, ineffective communication, and new-joinee orientation. Similarly, employees also faced challenges like non-familiar company policies, inept joining information, etc. Considering the inefficiencies and the number of challenges in the onboarding process, Chatbottest can offer personalized experiences to both HR professionals and its employees.

4. Navigation

Do you sometimes feel lost while talking with chatbots? How easy is it for you to go through the chatbot conversation? In a conversational interface, there are no back buttons, breadcrumbs, or a search box to help users do some parts of interaction with others.

However, in the digital world, your users may not co-operate and may not buy your service if chatbots fail to meet their specific needs. Testing of chatbots is essential to know how well it can deal with customers and how well it can satisfy your users.

5. Answering

Chatbots give answers in plain texts. Due to growing technologies, users’ demands are also increasing. Simple plain texts sometimes give a boring feel to users. They love to get interaction elements like buttons, cards, and quick replies.

It is your responsibility to verify whether the text is appropriately written in chatbots. If any resources you’ve added in chatbots like videos and pictures, then whether they are able to give 100% quality. The aim of this question here is to test different interaction elements with Chatbottest software and know whether chatbots can send it and how well they perform.

6. Error Management

Error management is a wonderful feature that is present in the Chatbottest software. It helps you understand how well the chatbot can deal with all errors that are going to happen. Most users ask some silly questions to chatbots. Some of them love to play with them.

Interaction between bots and users should be perfect. You need to prepare effective test cases for chatbots and apply it to check what kind of errors it produces when users ask any questions. You need to make different strategies to resolve this situation.

7. Intelligence

We know that every user has a different mindset, and we don’t know what type of query he/she may put to chatbots. The intelligence of chatbots is not judged by what users really expect from it, but there are some things that we can test related to intelligence.

It is essential to check whether chatbots can remember things and the ability to manage context as a person. You can include some questions in your test to check the understanding or intelligence power of chatbots while using the Chatbottest framework or software.

2. Botium

Botium is the personal assistant that helps your company run your chatbots efficiently. It can take over your work and provide a brilliant bot speed to test all aspects of a chatbot. It is an automation testing tool designed for chatbots using APIs. It gives test sets, out-of-the-box test environments with management tools.

It is easy to integrate with Perfecto, which is another automation testing tool for running Botium tests in the Perfecto testing cloud. When you combine Botium with Perfecto, the chances of your getting a scalable testing solution get increased. The integration ensures that you will be able to receive advanced chatbot applications without any failure.

Botium provides a robust platform for testing different business chatbots. It has in-built datasets for comparing chatbot types and performing integration with DevOps tools. It allows testers to build and conduct their experiments on a scale and get instant feedback in a cloud-based testing environment. When integrating Botium with Perfecto, you can experience the given benefits:

  • Testers can simply produce positive and negative scenarios. Perfecto helps scale the execution through its cloud environment. You can execute Botium on the target applications. Whether the tests are AI-driven, the ease of maintenance and their stability serve you as an advantage.
  • With Perfecto, developers can get feedback faster through insights, advanced test reporting, test logs, and detailed test artifacts.
  • Perfecto integrates smoothly into DevOps pipelines, so it is possible to develop and execute test scenarios of Botium from any CI/CD solution.

3. zypnos

Zypnos is a next-generation testing platform or framework for conversational AI interfaces. The goal of Zypnos is to provide end-to-end chatbot quality assurance. It is useful for simplifying the mundane tasks that you do while chatbot testing. Getting high-quality chatbots are crucial to increase productivity in business. Using Machine Learning and AI, Zypnos aims to make intelligent automated solutions to enhance the chatbot’s quality.

It has unique features that you can check below:

Simple to Use

Zypnos is suitable for all. Whether you are a beginner or an expert, it gives you the freedom to record the tests and run test cases in a codeless test editor.

Reusable

You need to record once as it can run for every version. It can run and manage test cases efficiently. It helps increase reuse and maintainability.

Time-Saving

This tool helps reduce the time of regression testing from weeks to hours and hours to minutes. It is an ideal choice to make manual testing faster and efficient.

Real-Time Insights

To track the progress of your chatbot testing, it gives you instant insights and helps you identify the risk that may happen in your chatbots.

 

4. Dimon

From WeChat, Skype to Telegram, Dimon software supports various platforms and allows bot owners and chatbots to find and resolve issues in their bot conversations. Dimon platform is outlined for automation testing. You can test chatbots quickly with this platform & to give the best user experience.

The intention of Dimon is to provide you full coverage of your bot functionality so that hundreds of thousands of people can easily make an interaction with your chatbot. Its monitoring feature helps you receive a notification in real-time when something goes wrong with your bot. For continuous progress, building user scenarios to conduct automated testing is very much easy. It allows you to test your bot like a real user with Rest APIs. It is a free tool for smart bot builders and may have a bot community to support your testing processes.

5. QBox

QBox is a superior tool made for the performance testing of chatbots. It can understand your NLP (Natural Language Processing) training data to improve your chatbot’s accuracy before going to the product live.

QBox allows you to perform testing with your chosen AI chatbot providers and helps them recognize the type of conversation that is good for your NLP training data. It is effortless to use so you can put the subject matter to perform the chatbot testing in the right way. Moreover, with QBox, you can monitor live interactions or understand your user’s behavior.

Conclusion

Based on the research, we provide you with a list of chatbot testing frameworks to practice in 2021. Whatever the tool you like to conduct chatbot testing, the important thing is you need to have a knowledge of possible chatbot testing scenarios. For example,

 

  • It is essential to load the chatbot with a website or for which it is built for.
  • It should be trained to examine typical spelling mistakes.
  • A chatbot should ask for an email of a user or his/her name during the conversation.
  • A user should clearly hear or see how a chatbot is loaded (sound, pop-up, etc.).
  • A chatbot should have a habit of storing a conversation’s history and send it to the repository if it is programmed.
  • It should work accurately because many users ask questions at the same time.
  • It should be capable of redirecting the customer to a contact person who will provide further help regarding the product or service.
  • Its recognizing power for currencies, dates, numbers, times, and other formats should be good.

Thus, choosing the best chatbot framework is not enough; it should have unique features that we have mentioned above in the Chatbot test software like intelligence, error management abilities, understanding, personality, etc. Before deciding on which chatbot testing tool is suitable for you, you should give our article a quick read again to keep yourself free from confusion if you have any regarding these frameworks.

Author Bio: Munish Sharma is a Senior QA Engineer & Editor associated with Bugraptors which is a certified software testing company providing manual & automation testing services. His passion for helping people in all aspects of software testing flows through in the expert industry coverage he provides. In addition to writing for Software testing, he expands his knowledge and tacts for decoding all the critical issues while doing software testing for several domains.

About the author: SubSellKaro

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