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The difficulty of reliably extracting characters had delayed the character recognition solutions (or OCRs) in Indian languages. Contemporary research in Indian language text recognition has shifted towards recognizing text in word or line images ...

Inspired by the great potential of Large Language Models (LLMs) for solving complex coding tasks, in this paper, we propose a novel approach, named Code2API, to automatically perform APIzation for Stack Overflow code snippets. Code2API does not require ...

This paper introduces the xData API within the xData Platform, which supports the development of smart services by analyzing and integrating a wide range of sensing data to provide appropriate action support in complex real-world situations. The focus ...

With the advent of 5G and the promise of 6G, edge computing is becoming increasingly important. Edge computing involves the proximity of computational resources to the devices and sensors responsible for data generation, reducing delay and ...

Smart Cities produce a wealth of data from the network of sensors and devices that are deployed at metropolitan scale. These data are managed by Smart City platforms that may provide APIs for enabling access them. The compatibility of these APIs ...

• Examined essential data-acquisition tools to maintain citizen-centric digital twins (CCDT).

Serious interoperability challenges prevent the stakeholders of infrastructure projects and citizens as the final users, from interacting with each other and helping maintain a project over its lifetime. This paper focuses on macro-...

Bags are ubiquitous in program verification. They are the means of choice when we want to express that a collection of elements is a rearrangement of another collection. We are working towards an “application proving interface” (API) for finite bags ...

Blindspots in APIs can cause software engineers to introduce vulnerabilities, but such blindspots are, unfortunately, common. We study the effect APIs with blindspots have on developers in two languages by replicating a 109-developer, 24-Java-API ...

Background: Software ecosystems are becoming increasingly complex and large. Therefore, discovering and selecting the right libraries and frameworks for use in a project is becoming a challenging task. Existing commercial services that support this task ...

A major hurdle for students and professional software developers who want to enter the world of machine learning (ML), is mastering not just the scientific background but also the available ML APIs. Therefore, we address the challenge of creating APIs ...

The use of Artificial Intelligence (ai), and more specifically of Deep Learning (dl), in modern software systems, is nowadays widespread and continues to grow. At the same time, its usage is energy demanding and contributes to the increased CO₂ emissions,...

This document reviews existing functionalities for media capability mechanisms in the streaming media space. It shows the multitude of existing functionalities and provides an overview on what is used in practice. We provide recommendations to ...

The evolution analysis on Web service ecosystems has become a critical problem as the frequency of service changes on the Internet increases rapidly. Developers need to understand these evolution patterns to assist in their decision-...

• Identify data quality issues in ProgrammableWeb dataset.
• Correct evolution ...

Developer forums like StackOverflow have become essential resources to modern software development practices. However, many code snippets lack a well-defined method declaration, and thus they are often incomplete for immediate reuse. Developers must ...

Recent software advances have led to an expansion of the development and usage of application programming interfaces (APIs). From millions of Android packages (APKs) available on Google Store to millions of open-source packages available in Maven, PyPI, ...

As the availability of online data grows rapidly, researchers are confronted with a pressing question: How should social scientists collect Internet data for research? This study focuses on one of the most commonly used data collection techniques: web ...

This paper describes a set of waste management Application Programming Interfaces (APIs) written in the python language and using the Pandas, NumPy, Matplotlib, Basemap, Haversine and other big data analytics libraries. These access open datasets ...

This paper describes the development of a prototype website for traffic, parking and transport in a smart city. Machine Learning (ML) tools are applied to open datasets from the City of Melbourne, Australia to develop a set of Application Programming ...

The selection of third-party libraries is an essential element of virtually any software development project. However, deciding which libraries to choose is a challenging practical problem. Selecting the wrong library can severely impact a software ...

The aim of this article is to describe and explain the role of WebXR APIs which nowadays are used to develop XR (virtual and augmented reality) applications, enjoyable by users through the browsers in the so-called Immersive Web. Starting from a ...