Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach

PurposeCode smells indicate deep software issues. They have been studied by researchers with different perspectives. The need to study code smells was felt from the perspective of software industry. The authors aim to evaluate the code smells on the basis of their scope of impact on widely used open-source software (OSS) projects.Design/methodology/approachThe authors have proposed a methodology to identify and rank the smells in the source code of 16 versions of Apache Tomcat Software. Further, the authors have analyzed the categorized smells by calculating the weight of the smells using constant weights as well as Best Worst Method (BWM). Consequently, the authors have used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to determine the rank of versions using constant weights as well as BWM.FindingsVersion 1 of Apache Tomcat has least smell, and version 8 is reported to contain the maximum code smells. Notable differences in both the cases during the trend analysis are reported by the study. The findings also show that increase is observed in the number of code smells with the release of newer versions. This increment is observed till version 8, followed by a subtle marked depreciation in the number of code smells in further releases.Originality/valueThe focus is to analyze smells and rank several versions of Apache Tomcat, one of the most widely used software for code smell study. This study will act as a significant one for the researchers as it prioritizes the versions and will help in narrowing down the options of the software used to study code smell.

Multi-Domain Network Monitoring System for End-to-End Connectivity

With the growing scale size of networks and the complexities that follow, there is an increasing need for an end-to-end network management system for efficient monitoring of the system and having the best-in-class security, performance, and management features. This paper proposes an integrated network monitoring system that provides a single-window operation for end-to-end network management. The system is operated as a web application for stand-alone functioning. This eliminates most the dependencies, chances of failure and additional requirements that may lead to increased cost and decreased performance. The proposed system uses JavaScript for frontend and DHTMLx3.0 for the User Interface. Backend works on Java, Ajax, Hibernate, Apache Tomcat (webserver), Apache ActiveMQ (message queue), MTOSI (Multi-Technology Operations System Interface), CORBA TMF 814 and WebSwing. The different network technologies used and supported by the system for functioning are RADIUS (Remote Authentication Dial-In User Service), MPLS-TP, SDH, SONET, ONT, and GPON

Análisis del rendimiento de librerías de componentes Java Server Faces en el desarrollo de aplicaciones web

Con el avance tecnológico en el ámbito de desarrollo de aplicaciones web, se han incorporado nuevas tecnologías; mucho más robustas, escalables y con un mayor rendimiento. PrimeFaces y RichFaces son librerías de componentes de la tecnología Java Server Faces (JSF), utilizadas para el desarrollo de interfaces de usuario para la web, las que permiten una integración con Java Script y Ajax. En la presente investigación se presenta el análisis comparativo de las librerías PrimeFaces y RichFaces, en sus dimensiones de tiempo promedio de respuesta de página, y tiempo promedio de respuesta Ajax, para determinar cuál de ellas ofrece un mejor rendimiento. El análisis se realizó por medio de una página web N Capas, aplicada en la gestión de tutorías académicas universitarias, se configuró un ambiente de pruebas sobre un servidor web Apache Tomcat en un entorno Linux, con cada una de las librerías, además se usaron las tecnologías JSF, PrimeFaces y RichFaces. Las pruebas de rendimiento estuvieron basadas en la herramienta Neoload, simulando 350 peticiones por segundo observándose diferencias significativas entre las dos librerías de componentes.

Peningkatan Kinerja Sistem Spatial Online Analytical Processing (SOLAP) Titik Panas Kebakaran Hutan

Data histori titik panas sebagai salah satu indikator kebakaran hutan dan lahan dapat dikelola dengan teknologi data warehouse dan sistem spatial online analytical processing (SOLAP). Pada penelitian sebelumnya telah dilakukan peningkatan kinerja terhadap sistem tersebut sehingga titik panas yang mampu dihasilkan meningkat menjadi 1500 titik. Penelitian ini bertujuan untuk meningkatkan kinerja sistem SOLAP data titik panas yang telah dibangun dalam penelitian sebelumnya. Peningkatan kinerja meliputi konfigurasi dari sisi perangkat lunak seperti peningkatan Java runtime environment (JRE), peningkatan server Apache Tomcat, dan peringkasan proses Javascript object notation (JSON) sedangkan spesifikasi perangkat keras menggunakan spesifikasi RAM dan processor yang sama dengan penelitian sebelumnya. Jumlah titik panas hasil query yang mampu dihasilkan dari konfigurasi tersebut meningkat menjadi 5344 titik.<br /><br />Kata kunci: kebakaran hutan, spatial data warehouse, spatial OLAP, titik panas

Performance Comparison of Java EE and ASP.NET Core Technologies for Web API Development

The paper describes the implementation of organic benchmarks for Java EE and ASP.NET Core, which are used to compare the performance characteristics of the language runtimes. The benchmarks are created as REST services, which process data in the JSON format. The ASP.NET Core implementation utilises the Kestrel web server, while the Java EE implementation uses Apache TomEE, which is based on Apache Tomcat. A separate service is created for invoking the benchmarks and collecting their results. It uses Express with ES6 (for its async features), Redis and MySQL. A web-based interface for utilising this service and displaying the results is also created, using Angular 5.

Design and Implementation of SFA Precious Old Film Resource Sharing Platform

When it comes to old films, we think the old films describe the story of the past normally. Many old films have been degraded or damaged for a long time. So the old films' restoration has been one of the mainstream film industry nowadays. It is because the old film is a record of the history and the old film resource is worth being cherished. At this point, it is particularly necessary and important to create a precious old film resource sharing platform. This platform runs on Eclipse environment and uses SSH framework structure, using MySQL as database, Apache tomcat as the server. Users can upload and download old films as well as the official administrator can manage the background functions. This platform can reserve valuable old film resource very well.

The Relationship Between Code Smells and Traceable Patterns — Are They Measuring the Same Thing?

It is important to maintain software quality as a software system evolves. Managing code smells in source code contributes towards quality software. While metrics have been used to pinpoint code smells in source code, we present an empirical study on the correlation of code smells with class-level (micro pattern) and method-level (nano-pattern) traceable code patterns. This study explores the relationship between code smells and class-level and method-level structural code constructs. We extracted micro patterns at the class level and nano-patterns at the method level from three versions of Apache Tomcat, three versions of Apache CXF and two J2EE web applications namely PersonalBlog and Roller from Stanford SecuriBench and then compared their distributions in code smell versus noncode smell classes and methods. We found that Immutable and Sink micro patterns are more frequent in classes having code smells compared to the noncode smell classes in the applications we analyzed. On the other hand, LocalReader and LocalWriter nano-patterns are more frequent in code smell methods compared to the noncode smell methods. We conclude that code smells are correlated with both micro and nano-patterns.