A Practical Blended Analysis for Dynamic Features in JavaScript

The JavaScript Blended Analysis Framework is designed to perform a general-purpose, practical combined static/dynamic analysis of JavaScript programs, while handling dynamic features such as run-time generated code and variadic func- tions. The idea of blended analysis is to focus static anal- ysis on a dynamic calling structure collected at runtime in a lightweight manner, and to rene the static analysis us- ing additional dynamic information. We perform blended points-to analysis of JavaScript with our framework and compare results with those computed by a pure static points- to analysis. Using JavaScript codes from actual webpages as benchmarks, we show that optimized blended analysis for JavaScript obtains good coverage (86.6% on average per website) of the pure static analysis solution and nds ad- ditional points-to pairs (7.0% on average per website) con- tributed by dynamically generated/loaded code

Dynamically typed languages

Dynamically typed languages such as Python and Ruby have experienced a rapid grown in popularity in recent times. However, there is much confusion as to what makes these languages interesting relative to statically typed languages, and little knowledge of their rich history. In this chapter I explore the general topic of dynamically typed languages, how they differ from statically typed languages, their history, and their defining features

Building Robust E-learning Software Systems Using Web Technologies

Building a robust e-learning software platform represents a major challenge for both the project manager and the development team. Since functionalities of these software systems improves and grows by the day, several aspects must be taken into consideration – e.g. workflows, use-casesor alternative scenarios – in order to create a well standardized and fully functional integrated learning management system. The paper will focus on a model of implementation for an e-learning software system, analyzing its features, its functional mechanisms as well as exemplifying an implementation algorithm. A list of some of the mostly used web technologies (both server-side and client-side) will be analyzed and a discussion over major security leaks of web applicationswill also be put in discussion.E-learning, E-testing, Web Technology, Software System, Web Platform

Comparative Analysis of Fullstack Development Technologies: Frontend, Backend and Database

Accessing websites with various devices has brought changes in the field of application development. The choice of cross-platform, reusable frameworks is very crucial in this era. This thesis embarks in the evaluation of front-end, back-end, and database technologies to address the status quo. Study-a explores front-end development, focusing on angular.js and react.js. Using these frameworks, comparative web applications were created and evaluated locally. Important insights were obtained through benchmark tests, lighthouse metrics, and architectural evaluations. React.js proves to be a performance leader in spite of the possible influence of a virtual machine, opening the door for additional research. Study b delves into backend scripting by contrasting node.js with php. The efficiency of sorting algorithms—binary, bubble, quick, and heap—is the main subject of the research. The performance measurement tool is apache jmeter, and the most important indicator is latency. Study c sheds light on database systems by comparing and contrasting the performance of nosql and sql, with a particular emphasis on mongodb for nosql. In a time of enormous data volumes, reliable technologies are necessary for data management. The five basic database activities that apache jmeter examines are insert, select, update, delete, and aggregate. The performance indicator is the amount of time that has passed. The results showed that the elapsed time for insert operations was significantly faster in nosql than in sql. The p-value for each operation result was less than 0.05, indicating that the performance difference is not significant. The results also showed that the elapsed time of update, delete, select, and aggregate operations are less in nosql than in sql. This suggests that the performance difference between sql and nosql is not significant. These research studies are combined in this thesis to provide a comprehensive understanding of database management, backend programming, and development frameworks. The results provide developers and organisations with the information they need to make wise decisions in this constantly changing environment and satisfy the expectations of a dynamic and diverse technology landscape. INDEX WORDS: Framework, JavaScript, frontend, React.js, Angular.js, Node.js, PHP, Backend, technology, Algorithms, Performance, Apache JMeter, T-test, SQL, NoSQL, Database management systems, Performance comparison, Data operations, Decision-making

JVM-hosted languages: They talk the talk, but do they walk the walk?

The rapid adoption of non-Java JVM languages is impressive: major international corporations are staking critical parts of their software infrastructure on components built from languages such as Scala and Clojure. However with the possible exception of Scala, there has been little academic consideration and characterization of these languages to date. In this paper, we examine four nonJava JVM languages and use exploratory data analysis techniques to investigate differences in their dynamic behavior compared to Java. We analyse a variety of programs and levels of behavior to draw distinctions between the different programming languages. We briefly discuss the implications of our findings for improving the performance of JIT compilation and garbage collection on the JVM platform