Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Articles (7)
- EAgriculture (5)
- Data mining (4)
- Decision making (3)
- Asphalt pavement distress data (2)
-
- Automated classification (2)
- Cracking (2)
- Emerging Technologies (2)
- FPGA (2)
- Information Systems (2)
- Social Implications of ICT (2)
- 802.11 localization (1)
- Advancements (1)
- Agricultural applications (1)
- Agriculture (1)
- Analysis (1)
- Android (1)
- Antagonistic group (1)
- Archaeology (1)
- Artificial neural network (1)
- Artificial neural networks (1)
- Automated optimization (1)
- Automotive-grade CMOS camera (1)
- Autonomous vehicle applications (1)
- Behavior preservation (1)
- Behavioral models (1)
- Biplots (1)
- Book review (1)
- Bug Severity (1)
- Calendar (1)
Articles 1 - 30 of 55
Full-Text Articles in Physical Sciences and Mathematics
Semantically Related Software Terms And Their Taxonomy By Leveraging Collaborative Tagging, Shaowei Wang, David Lo, Lingxiao Jiang
Semantically Related Software Terms And Their Taxonomy By Leveraging Collaborative Tagging, Shaowei Wang, David Lo, Lingxiao Jiang
David LO
Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs also contain a large amount of noisy content that are less relevant to software developers in engineering software systems. In this work, we perform a preliminary study to investigate the feasibility of automatic classification of microblogs into two categories: relevant and irrelevant to engineering software systems. …
Mining Indirect Antagonistic Communities From Social Interactions, Kuan Zhang, David Lo, Ee Peng Lim, Philips Kokoh Prasetyo
Mining Indirect Antagonistic Communities From Social Interactions, Kuan Zhang, David Lo, Ee Peng Lim, Philips Kokoh Prasetyo
David LO
Antagonistic communities refer to groups of people with opposite tastes, opinions, and factions within a community. Given a set of interactions among people in a community, we develop a novel pattern mining approach to mine a set of antagonistic communities. In particular, based on a set of user-specified thresholds, we extract a set of pairs of communities that behave in opposite ways with one another. We focus on extracting a compact lossless representation based on the concept of closed patterns to prevent exploding the number of mined antagonistic communities. We also present a variation of the algorithm using a divide …
Searching Connected Api Subgraph Via Text Phrases, Wing-Kwan Chan, Hong Cheng, David Lo
Searching Connected Api Subgraph Via Text Phrases, Wing-Kwan Chan, Hong Cheng, David Lo
David LO
Reusing APIs of existing libraries is a common practice during software development, but searching suitable APIs and their usages can be time-consuming [6]. In this paper, we study a new and more practical approach to help users find usages of APIs given only simple text phrases, when users have limited knowledge about an API library. We model API invocations as an API graph and aim to find an optimum connected subgraph that meets users' search needs. The problem is challenging since the search space in an API graph is very huge. We start with a greedy subgraph search algorithm which …
Learning Extended Fsa From Software: An Empirical Assessment, David Lo, Leonardo Mariani, Mauro Santoro
Learning Extended Fsa From Software: An Empirical Assessment, David Lo, Leonardo Mariani, Mauro Santoro
David LO
A number of techniques that infer finite state automata from execution traces have been used to support test and analysis activities. Some of these techniques can produce automata that integrate information about the data-flow, that is, they also represent how data values affect the operations executed by programs. The integration of information about operation sequences and data values into a unique model is indeed conceptually useful to accurately represent the behavior of a program. However, it is still unclear whether handling heterogeneous types of information, such as operation sequences and data values, necessarily produces higher quality models or not. In …
Scenario-Based And Value-Based Specification Mining: Better Together, David Lo, Shahar Maoz
Scenario-Based And Value-Based Specification Mining: Better Together, David Lo, Shahar Maoz
David LO
Specification mining takes execution traces as input and extracts likely program invariants, which can be used for comprehension, verification, and evolution related tasks. In this work we integrate scenario-based specification mining, which uses a data-mining algorithm to suggest ordering constraints in the form of live sequence charts, an inter-object, visual, modal, scenario-based specification language, with mining of value-based invariants, which detects likely invariants holding at specific program points. The key to the integration is a technique we call scenario-based slicing, running on top of the mining algorithms to distinguish the scenario-specific invariants from the general ones. The resulting suggested specifications …
Observatory Of Trends In Software Related Microblogs, Achananuparp Palakorn, Nelman Lubis Ibrahim, Yuan Tian, David Lo, Ee Peng Lim
Observatory Of Trends In Software Related Microblogs, Achananuparp Palakorn, Nelman Lubis Ibrahim, Yuan Tian, David Lo, Ee Peng Lim
David LO
Microblogging has recently become a popular means to disseminate information among millions of people. Interestingly, software developers also use microblog to communicate with one another. Different from traditional media, microblog users tend to focus on recency and informality of content. Many tweet contents are relatively more personal and Opinionated, compared to that of traditional news report. Thus, by analyzing microblogs, one could get the up-to-date information about what people are interested in or feel toward a particular topic. In this paper, we describe our microblog observatory that aggregates more than 70,000 Twitter feeds, captures software-related tweets, and computes trends from …
Kbe-Anonymity: Test Data Anonymization For Evolving Programs, - Lucia, David Lo, Lingxiao Jiang, Aditya Budi
Kbe-Anonymity: Test Data Anonymization For Evolving Programs, - Lucia, David Lo, Lingxiao Jiang, Aditya Budi
David LO
High-quality test data that is useful for effective testing is often available on users’ site. However, sharing data owned by users with software vendors may raise privacy concerns. Techniques are needed to enable data sharing among data owners and the vendors without leaking data privacy. Evolving programs bring additional challenges because data may be shared multiple times for every version of a program. When multiple versions of the data are cross-referenced, private information could be inferred. Although there are studies addressing the privacy issue of data sharing for testing and debugging, little work has explicitly addressed the challenges when programs …
To What Extent Could We Detect Field Defects? —An Empirical Study Of False Negatives In Static Bug Finding Tools, Ferdian Thung, - Lucia, David Lo, Lingxiao Jiang, Premkumar Devanbu, Foyzur Rahman
To What Extent Could We Detect Field Defects? —An Empirical Study Of False Negatives In Static Bug Finding Tools, Ferdian Thung, - Lucia, David Lo, Lingxiao Jiang, Premkumar Devanbu, Foyzur Rahman
David LO
Software defects can cause much loss. Static bug-finding tools are believed to help detect and remove defects. These tools are designed to find programming errors; but, do they in fact help prevent actual defects that occur in the field and reported by users? If these tools had been used, would they have detected these field defects, and generated warnings that would direct programmers to fix them? To answer these questions, we perform an empirical study that investigates the effectiveness of state-of-the-art static bug finding tools on hundreds of reported and fixed defects extracted from three open source programs: Lucene, Rhino, …
Information Retrieval Based Nearest Neighbor Classification For Fine-Grained Bug Severity Prediction, Yuan Tian, David Lo, Chengnian Sun
Information Retrieval Based Nearest Neighbor Classification For Fine-Grained Bug Severity Prediction, Yuan Tian, David Lo, Chengnian Sun
David LO
Bugs are prevalent in software systems. Some bugs are critical and need to be fixed right away, whereas others are minor and their fixes could be postponed until resources are available. In this work, we propose a new approach leveraging information retrieval, in particular BM25-based document similarity function, to automatically predict the severity of bug reports. Our approach automatically analyzes bug reports reported in the past along with their assigned severity labels, and recommends severity labels to newly reported bug reports. Duplicate bug reports are utilized to determine what bug report features, be it textual, ordinal, or categorical, are important. …
Semantic Patch Inference, Jesper Abdersen, Anh Cuong Nguyen, David Lo, Julia Lawall, Siau-Cheng Khoo
Semantic Patch Inference, Jesper Abdersen, Anh Cuong Nguyen, David Lo, Julia Lawall, Siau-Cheng Khoo
David LO
We propose a tool for inferring transformation specifications from a few examples of original and updated code. These transformation specifications may contain multiple code fragments from within a single function, all of which must be present for the transformation to apply. This makes the inferred transformations context sensitive. Our algorithm is based on depth-first search, with pruning. Because it is applied locally to a collection of functions that contain related changes, it is efficient in practice. We illustrate the approach on an example drawn from recent changes to the Linux kernel.
Duplicate Bug Report Detection With A Combination Of Information Retrieval And Topic Modeling, Anh Tuan Nguyen, Tung Nguyen, Tien Nguyen, David Lo, Chengnian Sun
Duplicate Bug Report Detection With A Combination Of Information Retrieval And Topic Modeling, Anh Tuan Nguyen, Tung Nguyen, Tien Nguyen, David Lo, Chengnian Sun
David LO
Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues. Among several automated detection approaches, text-based information retrieval (IR) approaches have been shown to outperform others in term of both accuracy and time efficiency. However, those IR-based approaches do not detect well the duplicate reports on the same technical issues written in different descriptive terms. This paper introduces DBTM, a duplicate bug report detection approach that takes advantage of both IR-based features and topic-based features. DBTM models a bug report as a textual document describing certain technical issue(s), and models duplicate bug …
Automatic Classification Of Software Related Microblogs, Philips Kokoh Prasetyo, David Lo, Achananuparp Palakorn, Yuan Tian, Ee Peng Lim
Automatic Classification Of Software Related Microblogs, Philips Kokoh Prasetyo, David Lo, Achananuparp Palakorn, Yuan Tian, Ee Peng Lim
David LO
Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs also contain a large amount of noisy content that are less relevant to software developers in engineering software systems. In this work, we perform a preliminary study to investigate the feasibility of automatic classification of microblogs into two categories: relevant and irrelevant to engineering software systems. …
Interactive Fault Localization Leveraging Simple User Feedbacks, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
Interactive Fault Localization Leveraging Simple User Feedbacks, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
David LO
Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs also contain a large amount of noisy content that are less relevant to software developers in engineering software systems. In this work, we perform a preliminary study to investigate the feasibility of automatic classification of microblogs into two categories: relevant and irrelevant to engineering software systems. …
Diversity Maximization Speedup For Fault Localization, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
Diversity Maximization Speedup For Fault Localization, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
David LO
Fault localization is useful for reducing debugging effort. However, many fault localization techniques require non-trivial number of test cases with oracles, which can determine whether a program behaves correctly for every test input. Test oracle creation is expensive because it can take much manual labeling effort. Given a number of test cases to be executed, it is challenging to minimize the number of test cases requiring manual labeling and in the meantime achieve good fault localization accuracy. To address this challenge, this paper presents a novel test case selection strategy based on Diversity Maximization Speedup (DMS). DMS orders a set …
Privacy- The Times They Are A-Changin', M.G. Michael, Katina Michael
Privacy- The Times They Are A-Changin', M.G. Michael, Katina Michael
Professor Katina Michael
This special section is dedicated to privacy in the information age. Since the rise of mobile social media in particular and the advent of cloud computing few can dispute that the times have changed. Privacy is now understood in context, and within a framework that is completely different to what it once was. The right to be let alone physically seemingly has been replaced by the right to give away as much information as you want virtually. What safeguards can be introduced into such a society? We cannot claim to wish for privacy as a right if we ourselves do …
Interative Discussion Leader (Idt) @ Futuregov Forum Queensland On The Theme Of "Mobile Government", Katina Michael, Erica Fensom
Interative Discussion Leader (Idt) @ Futuregov Forum Queensland On The Theme Of "Mobile Government", Katina Michael, Erica Fensom
Professor Katina Michael
Mobile Government Briefing: Provide services anywhere any time: - Transact to enable in-field data collection, request processing, order management, approvals, edits, updates and execute actions. - What are the implications for the incorporation of rich multimedia content on devices to better serve staff and citizens? - Addressing the security challenges of various risks around data access, data transmission, and data storage for BI architecture and mobile devices
Ieee T&S Magazine: Undergoing Transformation, Katina Michael
Ieee T&S Magazine: Undergoing Transformation, Katina Michael
Professor Katina Michael
Our Magazine is in a transformative period, not only because we are ‘Going Green’ in 2013 but because we are experiencing tremendous growth in quality international submissions. This means that we are increasingly appealing to an international audience with transdisciplinary interests. This has not gone unnoticed by the media, nor by our SSIT readership or wider engineering community.
Financial Trading Systems Using Artificial Neural Networks, Bruce Vanstone, Gavin Finnie
Financial Trading Systems Using Artificial Neural Networks, Bruce Vanstone, Gavin Finnie
Bruce Vanstone
Soft computing represents that area of computing adapted from the physical sciences. Artificial intelligence techniques within this realm attempt to solve problems by applying physical laws and processes. This style of computing is particularly tolerant of imprecision and uncertainty, making the approach attractive to those researching within “noisy” realms, where the signal-to-noise ratio is quite low. Soft computing is normally accepted to include the three key areas of fuzzy logic, artificial neural networks, and probabilistic reasoning (which include genetic algorithms, chaos theory, etc.). The arena of investment trading is one such field where there is an abundance of noisy data. …
At The Tone, The Time Will Be... Unknown – A Perspective On The Evolution Of Time In Telecommunications, Robert Iannucci
At The Tone, The Time Will Be... Unknown – A Perspective On The Evolution Of Time In Telecommunications, Robert Iannucci
Robert A Iannucci
No abstract provided.
Trading Foreign Currency Using Artificial Neural Network Strategies, Bruce Vanstone, Gavin Finnie
Trading Foreign Currency Using Artificial Neural Network Strategies, Bruce Vanstone, Gavin Finnie
Bruce Vanstone
The foreign exchange (FX) markets represent an enormous opportunity for traders. These markets have huge liquidity, trade 24 hours a day (except weekends), and allow the use of leverage. This paper takes a simple FX trading strategy and shows how to substantially improve it. using a neural network methodology originally developed by Vanstone & Finnie for creating and enhancing stockmarket trading systems. This result demonstrates the important role neural networks have to play within complex and noisy environments, such as tha provided by the intraday FX markets.
Uprising: The Internet's Unintended Consequences, Marcus Breen
Uprising: The Internet's Unintended Consequences, Marcus Breen
Marcus Breen
The Internet has transformed the social relations that were once managed by the powers that be. As a rapidly maturing communications technology, the Internet has brought people together even while it has reinforced privatism. The desktop computer, the laptop, the cellular and mobile phone, the Global Positoning System, the pilotless drone aircraft, video games and government documents courtesy of Wikileaks, all are connected on the network of networks. Together these converged elements of a global socio-technical system offer wonderful possibilities for human emancipation, even while those ideas collide with established ideas of civility and decency. Utilizing a transdisciplinary approach, Uprising …
Improved Duplicate Bug Report Identification, Yuan Tian, Chengnian Sun, David Lo
Improved Duplicate Bug Report Identification, Yuan Tian, Chengnian Sun, David Lo
David LO
Bugs are prevalent in software systems. To improve the reliability of software systems, developers often allow end users to provide feedback on bugs that they encounter. Users could perform this by sending a bug report in a bug report management system like Bugzilla. This process however is uncoordinated and distributed, which means that many users could submit bug reports reporting the same problem. These are referred to as duplicate bug reports. The existence of many duplicate bug reports may cause much unnecessary manual efforts as often a triager would need to manually tag bug reports as being duplicates. Recently, there …
Identifying Linux Bug Fixing Patches, Tian Yuan, Julia Lawall, David Lo
Identifying Linux Bug Fixing Patches, Tian Yuan, Julia Lawall, David Lo
David LO
In the evolution of an operating system there is a continuing tension between the need to develop and test new features, and the need to provide a stable and secure execution environment to users. A compromise, adopted by the developers of the Linux kernel, is to release new versions, including bug fixes and new features, frequently, while maintaining some older “longterm” versions. This strategy raises the problem of how to identify bug fixing patches that are submitted to the current version but should be applied to the longterm versions as well. The current approach is to rely on the individual …
Understanding Task-Driven Information Flow In Collaborative Networks, Gengxin Miao, Shu Tao, Winnie Cheng, Randy Moulic, Louise E. Moser, David Lo, Xifeng Yan
Understanding Task-Driven Information Flow In Collaborative Networks, Gengxin Miao, Shu Tao, Winnie Cheng, Randy Moulic, Louise E. Moser, David Lo, Xifeng Yan
David LO
Collaborative networks are a special type of social network formed by members who collectively achieve specific goals, such as fixing software bugs and resolving customers’ problems. In such networks, information flow among members is driven by the tasks assigned to the network, and by the expertise of its members to complete those tasks. In this work, we analyze real-life collaborative networks to understand their common characteristics and how information is routed in these networks. Our study shows that collaborative networks exhibit significantly different properties compared with other complex networks. Collaborative networks have truncated power-law node degree distributions and other organizational …
Are Faults Localizable?, - Lucia, Thung Ferdian, David Lo, Lingxiao Jiang
Are Faults Localizable?, - Lucia, Thung Ferdian, David Lo, Lingxiao Jiang
David LO
Many fault localization techniques have been proposed to facilitate debugging activities. Most of them attempt to pinpoint the location of faults (i.e., localize faults) based on a set of failing and correct executions and expect debuggers to investigate a certain number of located program elements to find faults. These techniques thus assume that faults are localizable, i.e., only one or a few lines of code that are close to one another are responsible for each fault. However, in reality, are faults localizable? In this work, we investigate hundreds of real faults in several software systems, and find that many faults …
Inferring Class Level Specifications For Distributed Systems, Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo
Inferring Class Level Specifications For Distributed Systems, Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo
David LO
Distributed systems often contain many behaviorally similar processes, which are conveniently grouped into classes. In system modeling, it is common to specify such systems by describing the class level behavior, instead of object level behavior. While there have been techniques that mine specifications of such distributed systems from their execution traces, these methods only mine object-level specifications involving concrete process objects. This leads to specifications which are large, hard to comprehend, and sensitive to simple changes in the system (such as the number of objects). In this paper, we develop a class level specification mining framework for distributed systems. A …
Innovation Rules: A Step By Step Approach Towards Identifying New Innovation Opportunities, Arcot Desai Narasimhalu
Innovation Rules: A Step By Step Approach Towards Identifying New Innovation Opportunities, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
International Ict Research Collaboration: Experiences And Recommendations, Erich Prem, Emma Barron, Arcot Desai Narasimhalu, Ian Morgan
International Ict Research Collaboration: Experiences And Recommendations, Erich Prem, Emma Barron, Arcot Desai Narasimhalu, Ian Morgan
Arcot Desai NARASIMHALU
This paper presents results of a study into the collaboration experiences of researchers. The focus is on long-distance collaboration in information and communication technologies (ICT) research and technology development, i.e. between the EU on the one side and Australia, Singapore or New Zealand on the other. The aim of the study was to provide useful recommendations for researchers who engage in international collaboration and to improve the quality of international co-operation projects. The emphasis here is on the views and experiences of Europe"s international partners. The paper analysis collaboration motives, challenges, co-operation types and provides recommendations for project initiation, networking, …
Managing Successful Innovation Delivery, Arcot Desai Narasimhalu
Managing Successful Innovation Delivery, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
Strategies For European Ict Rtd Collaboration With Australia And Singapore, Arcot Desai Narasimhalu, Narayanasamy Ramasubbu, Alex, Tai Loong Tan, Eric Prem, Ian Morgan, Ashley Stewart, Emma Baron, Dana Sanchez
Strategies For European Ict Rtd Collaboration With Australia And Singapore, Arcot Desai Narasimhalu, Narayanasamy Ramasubbu, Alex, Tai Loong Tan, Eric Prem, Ian Morgan, Ashley Stewart, Emma Baron, Dana Sanchez
Arcot Desai NARASIMHALU
No abstract provided.