A Data Mining Approach for Detecting Higher-Level Clones in Software

Basit, Hamid Abdul; Jarzabek, Stan

doi:10.1109/tse.2009.16

Cited by 94 publications

(52 citation statements)

References 35 publications

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“…This leads to its growing applications beyond the biology field. For example, it has been successfully adopted to solve network selection problems in heterogeneous networks [21][22][23], backhaul resources allocation problems in passive optical networks (PON). These works show us a new solution to the multi-application service selection problem.…”

Section: Related Workmentioning

confidence: 99%

A design and implementation of a framework for games in IoT

Kim

2017

J Supercomput

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Interconnection of the sensing and actuating devices providing the ability to share information across platform through a unified framework for enabling innovative applications. This is achieved by seamless ubiquitous sensing, data analytics and information representation as the unifying framework. Extending the current internet with interconnected objects and devices and their virtual representation has been a growing trend in recent years. Internet of Things (IoT) services are becoming a popular services. This will be supported challenges in a large of aspects such as smart health, green energy, smart home and personalized applications. So, the IoT plays more and more important issue in lifestyle through entertainment such as Games. As of yet, there has not been much research done on IoT environment games as a service. In this paper, we propose schemes of the design and implantation of IT convergence framework for games as a service of IoT. First of all, we discussed what to consider when design and implementation of IT convergence framework for games through contents using user's mobile devices and various sensors in IoT environment and suggest related techniques. Then, we showed the possibility of games in the IoT environment by creating games and measuring the interactions of users in the IoT environment.

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Section: Related Workmentioning

confidence: 99%

A design and implementation of a framework for games in IoT

Kim

2017

J Supercomput

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“…2 sketches code snippets highlighting the code similarities and differences between the two checkpoint.c files. Big clones can be identified in the Linux kernel with aid of a suitable clone detector (we used Clone Miner [18]). The Linux Developer builds ART templates for big clones on top of the Linux code managed by cpp.…”

Section: Motivating Example: Big Clones In the Linuxmentioning

confidence: 99%

Managing Big Clones to Ease Evolution: Linux Kernel Example

Kumar

Jarzabek

Dan³

2016

Annals of Computer Science and Information Systems

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Abstract-Successful software is often enhanced and adapted to the needs of new users. During evolution, a software system grows in size, becomes more complex, and costly to maintain. In this paper, we point to big clones-large granular duplicated program structures such as files or directories-as one of many reasons why this happens. Using the Linux kernel as an example, we show that big clones arise in the Linux kernel despite careful architecture design and a systematic approach for managing variability. We propose a solution to avoid these big clones by representing them as generalized templates in ART (Adaptive Reuse Technique). ART templates are constructed on top of the Linux code, without conflicts with the state-of-art techniques and tools used to manage the Linux kernel. Benefits include simplification of the Linux kernel due to non-redundancy, easier comprehension, and traceability of the change impact during evolution. The proposed technique is general and the Linux example discussed in this paper also illustrates general phenomena.

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“…Basit and Jarzabek [19] developed Clone Miner using frequent itemset mining which works on the output of token based clone detection tool , Repeated Token Finder. The study analyzed the presence of simple clones in structural clones.…”

Section: Related Workmentioning

confidence: 99%

“…Basit and Jarzabek [19] gave the concept of structural clones which are made up of simple clones that co-exist and relate to each other. We have successfully validated our approach in detecting concept clones across 8 releases of dnsjava by calculating precision and recall.…”

Section: Comparison With Existing Workmentioning

confidence: 99%