54 research outputs found
The development of an integrated corpus for Malay language
Generally, a corpus serves as the source of data for various types of research. As such, there are a number of Malay corpora being developed to support the needs of the researchers. However, the various corpora of Malay text are distributed and not integrated, where some words are not included or missing in some corpora. The focus of this paper is to develop an integrated corpus that will combine four most comprehensive Malay corpora. The intention is to provide comprehensive coverage of Malay corpora which would be beneficial for any relevant work
McCabeโs complexity and CK Metrics on the internal quality of test first implementation in Malaysian education settings
Test first is promoted in test driven development method as one of an effective Agile manifesto in producing a better quality applications. Several research have been conducted in education settings and among industrial practitioners in order to investigate the test first contribution in producing better quality software compared to a traditional approach. This paper focuses on studying the internal quality of the project developed by undergraduates with the implementation of test first over test last approach in Malaysian education settings. In the analyses, JHawk is used as the metrics extraction tools, and the analysis utilized the SPSS and G*Power statistical packages. The metrics collected are based on six object oriented metrics by Chidamber and Kemerer (CK) and the McCabeโs cyclomatic complexity (CC). However, only four CK Metric (Lack of Cohesion in Method, Coupling between Objects, Weighted Methods per Class, and Response for a Class) were evaluated, in addition, the complexity is measured based on McCabesโs CC. The outcome based on t-test and Mann-Whitney test shows that none of the metrics is statistically significant for test first in producing better internal quality; however, the hypothesis is accepted due to the effect size and achieved power contributed by the Weighted Method per Class
Empirical analysis of android apps permissions
Android applications or apps are taking the smart phones industry to a new level. Smart phone users can do most of their everyday tasks using the various types of applications offered in the Android Play Store. Generally, prior to installation of the apps, users need to agree on the permissions requested by the apps, they are not given any other option. Essentially, users may not aware on some security issues that may arise from the permissions. Some apps request the right to manipulate sensitive data, such as GPS location, photos, calendar, contact, email and files. In this paper, we explain the sources of sensitive data, what the malicious apps can do to the data, and apply the empirical software engineering analysis to find the factors that could potentially influence the permissions in Android apps. In addition, we also highlight top ten most implemented permissions in Android apps
Investigating the factors that influence the quality of open source systems
Open Source Software (OSS) has impacted
software industry and recently became extremely popular.
Many agencies, especially the Malaysian government
agencies are capitalizing on open source projects due to the
merit it offers. Due to the vast usage in the industry and
government administrations, there is a colossal need to
investigate on the quality of applications. Therefore, this
research will study the quality factors of OSS used by
Malaysian government, namely MyMeeting, and
MyTaskManager. In this research, McCallโs Quality Factor
Model is used as a quality model and it emphasizes on
quality factors such as maintainability, correctness,
reliability, efficiency and usability. This research utilizes six
object-oriented metrics by Chidamber and Kemerer (CK) to
measure the quality factors of OSS. The metrics were
analyzed using Statistical Package for Social Sciences
(SPSS). Results from the data analysis show that coupling
and complexity influence the class size
Polarity Classification Tool for Sentiment Analysis in Malay Language
The popularity of the social media channels has increased the interest among researchers in the sentiment analysis (SA) area. One aspect of the SA research is the determination of the polarity of the comments in the social
media, i.e. positive, negative, and neutral. However, there is a scarcity of Malay sentiment analysis tools because most of the work in the literature discuss the polarity classification tool in English. This paper presents the
development of a polarity classification tool called Malay Polarity Classification Tool (MaCT). This tool is developed based on the AFINN sentiment lexicon for English language. We have attempted to translate each word in AFINN to its Malay equivalent and later, use the lexicon to collect
the sentiment data from Twitter. The Twitter data are then classified into positive, negative, and neutral. For the validation purpose, we collect 400 positive tweets, 400 negative tweets, and 200 neutral tweets, and later,
run the tweets through our sentiment lexicon and found 90% score for precision, recall and accuracy. Our main contribution in the research is the new AFINN translation for Malay language and also the classification of the sentiment data
Testing in blockchain-based systems: a systematic review
The Internet of Things (IoT), insurance,
healthcare, government systems, financial services, and other
industries have recently adopted the blockchain technology. As
blockchain technology evolves, the list will continue to expand.
Implementing blockchain technology is becoming more
challenging due to various problems such as throughput issues,
user identity exposure, and smart contract vulnerability.
Therefore, blockchain-based technology should undergo
appropriate testing before deploying to a broader range of
businesses. This study conducted a comprehensive systematic
review on testing the blockchain systems based on three main
issues; performance, privacy and smart contract, which aims
to identify opportunities for future research. The recently
published publications are extracted from two selected digital
libraries, IEEE Xplore and Scopus, by applying selected search
terms and conditions. This research found that 27.78% of the
relevant research is based on blockchain performance testing,
27.78% on blockchain privacy testing, and 44.44% on
blockchain smart contract testing. It was observed that more
research focuses on smart contract issues than other issues
Development of a chatbot for the online application telegram chat with an approach to the emotion classification text using the IndoBERT-lite method
The increasing preference for text-based
communication on online chat applications has caused the
number of social interactions to increase rapidly. However, textbased
communication usually results in misunderstandings
resulting from the absence of feeling intonation and emotions in
the text. This study aims to create a chatbot that can detect
emotions text to be entered into online chat applications. This
study used a pre-trained model specifically trained from a
collection of Indonesian-language datasets, namely IndoBERTlite.
The dataset used to train the model is a collection of
Indonesian tweets totaling 4,403 which have been labeled with 5 classes of emotions, namely love, happy, anger, sadness, and
fear. The hyperparameters used in this study to train the model
were 5 epochs, batch size 16, learning rate 0.000003, and adam
optimizer. Based on the test results with the parameters already
mentioned, the accuracy, F1 score, recall, and precision values
were obtained in the training set of 89%, 89%, 89%, and 90%,
while the validation set obtained 70%, 71%, 70%, and 72%
Sentiment analysis for Malay language: systematic literature review
Recent research and developments in Sentiment Analysis (SA) have simplified sentiment detection and classification from textual content. The related domains for these studies are diverse and comprise fields such as tourism, costumer
review, finance, software engineering, speech conversation, social media content, news and so on. SA research and developments field have been done on various languages such as Chinese and English language. However, SA research on other languages such as Malay language is still scarce. Thus, there is a need for constructing SA research specifically for Malay language. To understand trends and to support practitioners and researchers with comprehension information with regard to SA for Malay language, this study exhibit to review published articles on SA for
Malay language. From five online databases including ACM,
Emerald insight, IEEE Xplore, Science Direct, and Scopus, 2433 scientific articles were obtained. Moreover, through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement, 10 articles have been chosen for the review process. Those articles have been reviewed depend on a few categories consisting of the aim of the study, SA classification techniques, as well as the domain and source of content. As a result, the conducted systematic literature review shed some light about the starting point to research in term of SA for Malay language
Malay Online Virtual Integrated Corpus (MOVIC): a systematic review
The development of the various Malay corpora have
given the opportunities to many researchers to explore their usage in diverse contexts. However, the corpora were distributed in various locations, and for the ease of access for users, a system called Malay Online Virtual Integrated Corpus (MOVIC) is proposed. This paper focuses on applying the systematic literature review (SLR) on the Malay corpus research to find out the recent development in the area. From the initial search, 3231 articles were extracted from five online databases, such as, IEEE
Xplore, Scopus, ProQuest, Springer Link, and ACM. After
several rounds of filtering, 11 papers were selected for review
Collaborative open bibliographic network for Malaysian school libraries
Collaborative bibliographic network among libraries has long gained its popularity not only due to the sheer cost of integrated library systems (ILS) but also the many benefits gained from being a member of library network or consortium. The emerging trend of the use of open source ILS in consortia has already marked successful results including among school libraries. Among the prominent ones is the development of virtual union catalog which not only promotes resource sharing, but also has great potentials in making school resource centres (SRC) online catalogues as a tool for information resource discovery. The paper will specifically explore the feasibility of building such network within school resource centers in Malaysia. The awareness, benefits and issues like interoperability will also be discussed. This paper will discover the potential of setting up a collaborative bibliographic network among SRC in Malaysia by deploying open source ILS. A general framework in setting up SRC bibliographic network in Malaysia will be proposed with focus on the creation of compatible library catalog that could support the distributed environment and Z39.50 protocol. Popular ILS such as Koha, OPALS, and Evergreen will be presented and their applications in library network will be appraised in light of Malaysian SRC environment. Finally, the paper will propose potential research areas that would position and enhance the role of school resource centres in producing life-long learners and bridging the digital divide through the deployment of open source ILS in Malaysian SRC
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