Comparing Selected Criteria of Programming Languages Java, PHP, C++, Perl, Haskell, AspectJ, Ruby, COBOL, Bash Scripts and Scheme Revision 1.0 - a Team CPLgroup COMP6411-S10 Term Report

Comparison of programming languages is a common topic of discussion among software engineers. Few languages ever become sufficiently popular that they are used by more than a few people or find their niche in research or education; but professional programmers can easily use dozens of different languages during their career. Multiple programming languages are designed, specified, and implemented every year in order to keep up with the changing programming paradigms, hardware evolution, etc. In this paper we present a comparative study between ten programming languages: Haskell, Java, Perl, C++, AspectJ, COBOL, Ruby, PHP, Bash Scripts, and Scheme; with respect of the following criteria: Secure programming practices, web applications development, web services design and composition, object oriented-based abstraction, reflection, aspect-orientation, functional programming, declarative programming, batch scripting, and user interface prototype design.

💡 Research Summary

The paper presents a systematic comparison of ten widely used programming languages—Java, PHP, C++, Perl, Haskell, AspectJ, Ruby, COBOL, Bash scripts, and Scheme—against ten evaluation criteria that reflect contemporary software development concerns. The authors first define the criteria: secure programming practices, web‑application development, web‑service design and composition, object‑oriented abstraction, reflection, aspect‑orientation, functional programming, declarative programming, batch scripting, and user‑interface prototyping. For each language they collect data from literature, language specifications, tooling ecosystems, and sample code, then assess both quantitative metrics (such as reported security vulnerabilities, number of mature libraries, community activity) and qualitative aspects (learning curve, readability, maintainability).

In the security dimension, Haskell and Java score highest because of strong static typing, immutable data structures, and built‑in garbage collection that eliminate many memory‑related bugs. C++ receives a low rating due to manual memory management and the prevalence of buffer‑overflow vulnerabilities, while Perl and PHP are flagged for weak default input validation despite their rapid development capabilities. AspectJ is highlighted for its ability to modularize security concerns through aspect‑oriented programming.

Web‑application development is dominated by PHP and Ruby on Rails, which offer mature MVC frameworks, extensive plugin ecosystems, and rapid prototyping tools. Java follows with enterprise‑grade frameworks such as Spring and JSF, providing scalability at the cost of higher configuration overhead. C++ is noted as viable for high‑performance server modules but suffers from complex build processes.

For web‑service design, Java and PHP provide comprehensive REST and SOAP libraries, making them suitable for service‑oriented architectures. Haskell’s type‑safe libraries enable highly reliable services, though the ecosystem is smaller. Scheme and Bash are limited to simple HTTP calls or script‑level integrations.

Object‑oriented abstraction is fully realized in Java and AspectJ, which support classes, interfaces, inheritance, and polymorphism. Ruby offers mixins and open classes for flexible composition, while C++ delivers powerful multiple inheritance and template metaprogramming at the expense of increased complexity.

Reflection capabilities are strong in Java and Ruby, enabling runtime inspection and dynamic behavior essential for many frameworks. C++ only offers limited RTTI, and Haskell relies on Template Haskell for compile‑time meta‑programming rather than true runtime reflection.

Aspect‑orientation is essentially exclusive to AspectJ, which provides language‑level constructs for cross‑cutting concerns. Other languages can simulate AOP through libraries (e.g., Spring AOP for Java, AspectR for Ruby) but lack the same seamless integration.

Functional programming is best supported by Haskell and Scheme, both of which enforce pure functions, higher‑order functions, lazy evaluation, and immutable data structures. Ruby and Perl provide closures and blocks, offering partial functional features, while modern C++ includes lambdas and std::function for functional style.

Declarative programming is exemplified by Scheme’s powerful macro system and Haskell’s list comprehensions and pattern matching. Bash, COBOL, and the other imperative languages provide little to no declarative constructs.

Batch scripting is naturally suited to Bash, which excels at command chaining, text processing, and system automation. Perl also performs well in this area, whereas COBOL is confined to legacy mainframe batch jobs.

User‑interface prototyping is most efficient with Ruby on Rails and PHP’s templating engines for web UI, while Java’s Swing/JavaFX offers rich desktop UI capabilities. Haskell and Scheme have limited GUI libraries, primarily used for academic visualizations.

The authors conclude that no single language dominates across all criteria. Instead, the optimal choice depends on project‑specific priorities such as security requirements, development speed, performance constraints, existing team expertise, and long‑term maintenance considerations. They recommend a pragmatic, possibly multi‑language approach, selecting the best tool for each functional domain while ensuring interoperability and consistent architectural guidelines.