SOAP and RESTful web service anti-patterns: A scoping review

Alshraiedeh, Fuad

doi:10.30534/ijatcse/2019/05852019

Cited by 4 publications

(5 citation statements)

References 39 publications

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“…On the other hand; Stamelos (2010) defined anti-patterns as problematic software conditions as a result of human error or social and cultural related issues that may expose software to various risks. Just like any other computer-based system, anti-patterns are also found in WSs because of improper service design and implementation as well as programming practices (Alshraiedeh and Katuk, 2019; Kumar and Sureka, 2018). Many anti-patterns have been discovered in RESTful WS; for example, ambiguous names, amorphous URIs, CRUD URIs, contextless resource names and non-hierarchical nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Brabra et al (2019) argued that the URIs should have clear and representative definitions, which means the nodes should have meaningful names and relevant. Anti-patterns could also happen in the design of URIs, which are named as amorphous URIs, CRUD URI, pluralised nodes, contextless recourse names, non-hierarchical nodes and ambiguous names (Alshraiedeh and Katuk, 2019). Hirsch et al (2018) and Mateos et al (2015b) studied ambiguous name anti-patterns in SOAP to define the corresponding definition in RESTful WS through the SOAP description document, such as portTypes, operations and parameters.…”

Section: Related Workmentioning

confidence: 99%

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A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

Alshraiedeh

Katuk

2020

IJWIS

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Purpose Many REpresentational State Transfer (RESTful) Web services suffered from anti-patterns problem, which may diminish the sustainability of the services. The anti-patterns problem could happen in the code of the programme or the uniform resource identifiers (URIs) of RESTful Web services. This study aims to address the problem by proposing a technique and an algorithm for detecting anti-patterns in RESTful Web services. Specifically, the technique is designed based on URIs parsing process. Design/methodology/approach The study was conducted following the design science research process, which has six activities, namely, identifying problems, identifying solutions, design the solutions, demonstrate the solution, evaluation and communicate the solution. The proposed technique was embedded in an algorithm and evaluated in four phases covering the process of extracting the URIs, implementing the anti-pattern detection algorithm, detecting the anti-patterns and validating the results. Findings The results of the study suggested an acceptable level of accuracy for the anti-patterns detection with 82.30% of precision, 87.86% of recall and 84.93% of F-measure. Practical implications The technique and the algorithm can be used by developers of RESTful Web services to detect possible anti-pattern occurrences in the service-based systems. Originality/value The technique is personalised to detect amorphous URI and ambiguous name anti-patterns in which it scans the Web service URIs using specified rules and compares them with pre-determined syntax and corpus.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

Alshraiedeh

Katuk

2020

IJWIS

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“…CORESE combines the advantages of RDF (S) / XML to express and exchange the different metadata, and the request and inference mechanisms that are available for the formalism of Conceptual Graphs ( GCs ) [6]. The hierarchy of classes and their characteristics described in an RDFS schema are translated into a hierarchy of concepts and a hierarchy of types of relation in the formalism of GCs.…”

Section: -3-4 Corese: Semantic Search Enginementioning

confidence: 99%

“…A sample is selected within the Faculty of Science Ben M ' sik, it is a created database is managed by Oracle that contains the documents of students in various department s of the establishment (Mathematics and Computer, Physics, Chemistry, etc. ), such as the physical chemistry of materials laboratories [9][10][11][12]. The questionnaire survey that we carried out is a crucial step in our study, which makes it possible to conduct a survey on the use of the proposed organizational memory and on the validation rate of access to the various communication and sharing tools.…”

Section: Example: Organizational Memory To Manage Documentsmentioning

confidence: 99%

Semantic Web Services and Multi Agent Approach for Building and Managing a Distributed Organizational Memory

Mahjoubi¹

2020

IJETER

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In this work, we present a technological approach to develop and integrate a management and exploitation platform for heterogeneous resources on the intranet, because organizations manage documents dispersed in large quantities. We have implemented an organizational memory based on semantic web technologies and multi-agent systems, by introducing a new O'CoMMA ontology which ensures the consistency of the proposed memory as well as the management of communications between different actors and users.

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“…There have been no clear service standards for two or perhaps more clouds to be incorporated, but operating systems are based on those definitions. Many data centres use Representational State Transfer ( REST) or Simple Object Access Protocols (SOAP) as an interaction scheme [12]. Each scheme has its distinctive features; for example, login authentication [13].…”

Section: Introductionmentioning

confidence: 99%

Statistical Model for Cybercrime Detection in Joined Heterogeneous Cloud Computing Environments

2020

IJATCSE

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Many commercial facilities and academic institutions now use cloud computing in an attempt of adopting new digital innovations. Cloud Computing Providers might be constrained to some services, lacking several resources their customers requested, meaning that distinct cloud services need to come together in collaboration to interoperate and exchange resources among themselves. In different characteristics and structures, clouds may be interlinked, and the interconnected systems may be prone to instability or intrusion. Although digital transformation and cloud services are also making progress in meeting the influencing policies internationally, terrorists use virtual space to commit cyberattacks. Adoption of cloud services has become highly sensitive to attacks and intrusions. Security breach or corruption of data gives organizations or agencies significant catastrophic losses. Divine influence and physical devices really aren't sufficient to protect services provided by clouds; thus, there is a need for an effective cyber protection model that is implementable, versatile, reliable and capable of detecting hazardous cyber-attacks on joined heterogeneous cloud providers, making it essential to decrease in real-time. This paper focuses on developing a Statistical Model for cybercrime detection in a heterogeneous cloud systems that are joined. When defining the implementation of the proposed model, we used an architecture and design modelling system. We used statistical notations and diagrams to contain the complexities and variability of the joining cloud data centres when adopting shared resources and possible cybercrime detection. The proposed model was experimented using WEKA tool to test Anomaly and Normal Accuracy performance of three (3) Classification existing algorithms: C4.5 and Random Decision tree and NaïveBayes. The dataset used was CICDDOS2019, the dataset was generated observing abstract behaviour of 25 users based on heterogeneous HTTP, HTTPS, FTP, SSH, and email protocols, Operating Systems and initiating different DDOS attacks. After a comparison of Classification model results, yielding in the highest accuracy and detection rates as well as the lowest false rates. The results specify that the classification capability of the C4.5 is inherently superior to the classification of Random Tree and the NaïveBayes.

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SOAP and RESTful web service anti-patterns: A scoping review

Cited by 4 publications

References 39 publications

A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services

Semantic Web Services and Multi Agent Approach for Building and Managing a Distributed Organizational Memory

Statistical Model for Cybercrime Detection in Joined Heterogeneous Cloud Computing Environments

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