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- W3201857000 abstract "Computer programming is the heart of computer science and C++ and Java are the most popular and widely used languages. The performance of C++ and Java programming languages has been benchmarked using robotics, numerical, genetic and evolutionary algorithms, but not using introductory programming algorithms. This article examined C++ and Java by analysing the implementation of novice algorithms of introductory programming courses by evaluating the difficulty, effort, time and delivered bugs of programs with Halstead software metrics. The study identified that Java is more difficult than C++ in the implementation of selected algorithms. Similarly, the efforts required to translate the novice algorithms in Java are higher than C++. The time involved in translating selected algorithms in C++ is lower than Java. Similarly, the number of delivered bugs in C++ is lower than Java. The study suggests that C++ is more suitable than Java for the implementation of introductory programming algorithms and reasonably more suitable for introductory programming courses. The study emboldens the programming linguists to do further analyses in contemplating other programming languages with Halstead software metrics and other kinds of algorithms." @default.
- W3201857000 created "2021-10-11" @default.
- W3201857000 creator A5084360438 @default.
- W3201857000 date "2021-06-30" @default.
- W3201857000 modified "2023-10-02" @default.
- W3201857000 title "Comparison of C++ and Java in Implementing Introductory Programming Algorithms" @default.
- W3201857000 doi "https://doi.org/10.52584/qrj.1901.14" @default.
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