DeepAI AI Chat
Log In Sign Up

Generating Examples From CLI Usage: Can Transformers Help?

by   Roshanak Zilouchian Moghaddam, et al.

Continuous evolution in modern software often causes documentation, tutorials, and examples to be out of sync with changing interfaces and frameworks. Relying on outdated documentation and examples can lead programs to fail or be less efficient or even less secure. In response, programmers need to regularly turn to other resources on the web such as StackOverflow for examples to guide them in writing software. We recognize that this inconvenient, error-prone, and expensive process can be improved by using machine learning applied to software usage data. In this paper, we present our practical system which uses machine learning on large-scale telemetry data and documentation corpora, generating appropriate and complex examples that can be used to improve documentation. We discuss both feature-based and transformer-based machine learning approaches and demonstrate that our system achieves 100 coverage for the used functionalities in the product, providing up-to-date examples upon every release and reduces the numbers of PRs submitted by software owners writing and editing documentation by >68 valuable lessons learnt during the 3 years that our production quality system has been deployed for Azure Cloud Command Line Interface (Azure CLI).


Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing

In this paper, we present Par4Sem, a semantic writing aid tool based on ...

EasyMLServe: Easy Deployment of REST Machine Learning Services

Various research domains use machine learning approaches because they ca...

Serverless inferencing on Kubernetes

Organisations are increasingly putting machine learning models into prod...

Machine Learning Techniques for Software Quality Assurance: A Survey

Over the last years, machine learning techniques have been applied to mo...

A Validation and Quality Assessment Method with Metamorphic Relations for Unsupervised Machine Learning Software

Unsupervised machine learning is a task of modeling the underlying struc...

Distortion and Faults in Machine Learning Software

Machine learning software, deep neural networks (DNN) software in partic...

Learning to Recognize Dialect Features

Linguists characterize dialects by the presence, absence, and frequency ...