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Articles 6151 - 6180 of 8706
Full-Text Articles in Entire DC Network
To What Extent Could We Detect Field Defects? An Empirical Study Of False Negatives In Static Bug Finding Tools, Ferdian Thung, Lucia 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 Lucia, David Lo, Lingxiao Jiang, Premkumar Devanbu, Foyzur Rahman
Research Collection School Of Computing and Information Systems
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, …
Kbe-Anonymity: Test Data Anonymization For Evolving Programs, Lucia Lucia, David Lo, Lingxiao Jiang, Aditya Budi
Kbe-Anonymity: Test Data Anonymization For Evolving Programs, Lucia Lucia, David Lo, Lingxiao Jiang, Aditya Budi
Research Collection School Of Computing and Information Systems
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 …
Housing And Development Board Flats, Trust And Other Equitable Doctrines, Hang Wu Tang
Housing And Development Board Flats, Trust And Other Equitable Doctrines, Hang Wu Tang
Research Collection Yong Pung How School Of Law
Although 85% of the population of Singapore reside in Housing and Development Board (HDB) flats, this area of the law remains largely under investigated. A perennially contentious issue is the complex interplay between equitable doctrines and the Housing and Development Act. In this article, the author reviews the jurisprudence pertaining to express trust, resulting trust and common intention constructive trust and the HDB flat. This article will also examine the applicability of other equitable doctrines such as donatio mortis causa and proprietary estoppel in relation to the HDB flat. In particular, this article will explore the applicability of the common …
Scalable Content Authentication In H.264/Svc Videos Using Perceptual Hashing Based On Dempster-Shafer Theory, Dengpan Ye, Zhuo Wei, Xuhua Ding, Robert H. Deng
Scalable Content Authentication In H.264/Svc Videos Using Perceptual Hashing Based On Dempster-Shafer Theory, Dengpan Ye, Zhuo Wei, Xuhua Ding, Robert H. Deng
Research Collection School Of Computing and Information Systems
The content authenticity of the multimedia delivery is important issue with rapid development and widely used of multimedia technology. Till now many authentication solutions had been proposed, such as cryptology and watermarking based methods. However, in latest heterogeneous network the video stream transmission has b een coded in scalable way such as H.264/SVC, there is still no good authentication solution. In this paper, we firstly summarized related works and p roposed a scalable content authentication scheme using a ratio of different energy (RDE) based perceptual hashing in Q/S dimension, which is used Dempster-Shafer theory and combined with the latest scalable …
Verifying Total Correctness Of Graph Programs, Christopher M. Poskitt, Detlef Plump
Verifying Total Correctness Of Graph Programs, Christopher M. Poskitt, Detlef Plump
Research Collection School Of Computing and Information Systems
GP 2 is an experimental nondeterministic programming language based on graph transformation rules, allowing for visual programming and the solving of graph problems at a high-level of abstraction. In previous work we demonstrated how to verify graph programs using a Hoare-style proof calculus, but only partial correctness was considered. In this paper, we add new proof rules and termination functions, which allow for proofs to additionally guarantee that program executions always terminate (weak total correctness), or that programs always terminate and do so without failure (total correctness). We show that the new proof rules are sound with respect to the …
Reputation As Public Policy For Internet Security, Leigh L. Linden, John S. Quarterman, Qian Tang, Andrew B. Whinston
Reputation As Public Policy For Internet Security, Leigh L. Linden, John S. Quarterman, Qian Tang, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
Insufficient resource allocation causes an Internet information security (infosec) problem that public policy could improve. Lack of transparency lets organizations avoid addressing internal risks, leaving vulnerabilities that are exploited by botnets, threatening information security of other Internet participants. Their protection provides no economic benefit to the firm, so this negative externality causes underinvestment in infosec. Public policy could provide a partial solution by adding incentives for organizations to have well-configured infosec. Specifically, mandatory reporting of security issues plus presenting this information to the public, can impose shame and fame on organizations through publicity and peer influence by comparison with major …
A Computational Analysis Of Bundle Trading Markets Design For Distributed Resource Allocation, Zhiling Guo, Gary J. Koehler, Andrew B. Whinston
A Computational Analysis Of Bundle Trading Markets Design For Distributed Resource Allocation, Zhiling Guo, Gary J. Koehler, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
Online auction markets play increasingly important roles for resource allocations in distributed systems. This paper builds upon a market-based framework presented by Guo et al. (Guo, Z., G. J. Koehler, A. B. Whinston. 2007. A market-based optimization algorithm for distributed systems. Management Sci. 53(8) 1345–1458), where a distributed system optimization problem is solved by self-interested agents iteratively trading bundled resources in a double auction market run by a dealer. We extend this approach to a dynamic, asynchronous Internet market environment and investigate how various market design factors including dealer inventory policies, market communication patterns, and agent learning strategies affect the …
Interactive Fault Localization Leveraging Simple User Feedback, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
Interactive Fault Localization Leveraging Simple User Feedback, Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
Research Collection School Of Computing and Information Systems
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. …
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
Research Collection School Of Computing and Information Systems
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
Research Collection School Of Computing and Information Systems
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 …
Generalization And Induction: Misconceptions, Clarifications And A Classification Of Induction, Eric W. K. Tsang, John N. Williams
Generalization And Induction: Misconceptions, Clarifications And A Classification Of Induction, Eric W. K. Tsang, John N. Williams
Research Collection School of Social Sciences
In “Generalizing Generalizability in Information Systems Research,” Lee and Baskerville (2003) try to clarify generalization and classify it into four types. Unfortunately, their account is problematic. We propose repairs. Central among these is our balance-of-evidence argument that we should adopt the view that Hume’s problem of induction has a solution, even if we do not know what it is. We build upon this by proposing an alternative classification of induction. There are five types of generalization: (1) theoretical, (2) within-population, (3) cross-population, (4) contextual, and (5) temporal, with theoretical generalization being across the empirical and theoretical levels and the rest …
Defeating Sql Injection, Lwin Khin Shar, Hee Beng Kuan Tan
Defeating Sql Injection, Lwin Khin Shar, Hee Beng Kuan Tan
Research Collection School Of Computing and Information Systems
The best strategy for combating SQL injection, which has emerged as the most widespread website security risk, calls for integrating defensive coding practices with both vulnerability detection and runtime attack prevention methods.
Bridging The Gap: An Exploratory Study Of Corporate Social Responsibility Among Smes In Singapore, Mui Hean Lee, Angela Ka Mak, A. Pang
Bridging The Gap: An Exploratory Study Of Corporate Social Responsibility Among Smes In Singapore, Mui Hean Lee, Angela Ka Mak, A. Pang
Research Collection Lee Kong Chian School Of Business
Corporate social responsibility (CSR) among small-medium enterprises (SME) is an overlookedarea, despite the latter’s emerging prominence as an economic player. To provide a comprehensiveanalysis of the CSR landscape among Singapore SMEs, a triangulation of 15 in-depth interviews anda self-administered Web survey was conducted among 113 senior executives from top 500 SingaporeSMEs (27.2% response). Key findings include (a) moderate awareness but low comprehension ofCSR; (b) engagement relevance to immediate stakeholders; (c) individual values, stakeholderrelationships, and governmental influences as main drivers; and (d) lack of various resources askey barriers. Implications and future research directions are discussed.
Productivity, Return-On-Capital And Stock Price Performance, Andrew Lee, Tracey Zhang
Productivity, Return-On-Capital And Stock Price Performance, Andrew Lee, Tracey Zhang
Research Collection School Of Accountancy
Productivity improvements in businesses are invariably championed as value-enhancing propositions. Whether the improvements are labour-related or asset-related, the value of a business is arguably enhanced when its employees are more productive, its assets are utilised more productively, and its operations are conducted more efficiently.
Do Analysts Understand The Valuation Implications Of Accounting Conservatism When Forecasting Target Prices?, Jae Bum Kim, Alexander Nekrasov, Pervin K. Shroff, Andreas Simon
Do Analysts Understand The Valuation Implications Of Accounting Conservatism When Forecasting Target Prices?, Jae Bum Kim, Alexander Nekrasov, Pervin K. Shroff, Andreas Simon
Research Collection School Of Accountancy
Conservatism in earnings does not have a direct impact on the present value of future cash flows. This paper examines whether financial analysts correctly undo the effect of accounting conservatism incorporated in their own earnings forecasts in arriving at their target price forecasts. Based on prior findings, we consider alternative valuation models/heuristics that may be used by analysts to estimate target prices, e.g. the forward P/E and the PEG ratio. Our evidence suggests that analysts fail to fully undo the effect of accounting conservatism embedded in their forecasts of earnings and earnings growth when estimating their target price forecasts. More …
Banking On Productivity, Chu Yeong Lim
Banking On Productivity, Chu Yeong Lim
Research Collection School Of Accountancy
Streamlining processes and improving productivity in the accounting function has been identified as the single most important challenge in a survey of the Institute of Management Accountants (IMA) members conducted in 2011. This is despite the majority of members indicating that they have achieved significant long term productivity improvements. Some of the other challenges identified by the interviewees include managing change in a global environment, implementing an enterprise resource planning system and connecting finance to front office. Automation and investing in data analysis/ business intelligence tools are some of the tools used by the interviewees to improve productivity (IMA, 2011). …
Productivity Measurements For Accounting Functions, Themin Suwardy
Productivity Measurements For Accounting Functions, Themin Suwardy
Research Collection School Of Accountancy
The finance department is under pressure to enhance its own value contribution to the business, deliver high quality information and maintain effective controls. It is subject to the same continuing internal demands to reduce the cost of its own operations. To be more effi cient, be more productive. But many finance departments are in a quandary. They are unsure how to demonstrate whether they are delivering real value to the business and to what extent they meet best practice standards for world-class finance departments.
Accounting And Productivity: Answering The Big Questions, Gary Pan, Themin Suwardy
Accounting And Productivity: Answering The Big Questions, Gary Pan, Themin Suwardy
Research Collection School Of Accountancy
No abstract provided.
Improved Bdd-Based Discrete Analysis Of Timed Systems, Truong Khanh Nguyen, Jun Sun, Yang Liu, Jin Song Dong, Yan Liu
Improved Bdd-Based Discrete Analysis Of Timed Systems, Truong Khanh Nguyen, Jun Sun, Yang Liu, Jin Song Dong, Yan Liu
Research Collection School Of Computing and Information Systems
Model checking timed systems through digitization is relatively easy, compared to zone-based approaches. The applicability of digitization, however, is limited mainly for two reasons, i.e., it is only sound for closed timed systems; and clock ticks cause state space explosion. The former is mild as many practical systems are subject to digitization. It has been shown that BDD-based techniques can be used to tackle the latter to some extent. In this work, we significantly improve the existing approaches by keeping the ticks simple in the BDD encoding. Taking advantage of the ‘simple’ nature of clock ticks, we fine-tune the encoding …
Confidence-Aware Graph Regularization With Heterogeneous Pairwise Features, Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang
Confidence-Aware Graph Regularization With Heterogeneous Pairwise Features, Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang
Research Collection School Of Computing and Information Systems
Conventional classification methods tend to focus on features of individual objects, while missing out on potentially valuable pairwise features that capture the relationships between objects. Although recent developments on graph regularization exploit this aspect, existing works generally assume only a single kind of pairwise feature, which is often insufficient. We observe that multiple, heterogeneous pairwise features can often complement each other and are generally more robust in modeling the relationships between objects. Furthermore, as some objects are easier to classify than others, objects with higher initial classification confidence should be weighed more towards classifying related but more ambiguous objects, an …
Does Earnings Quality Affect Information Asymmetry? Evidence From Trading Costs, Nilabhra Bhattacharya, Hemang Desai, Kumar Venkataraman
Does Earnings Quality Affect Information Asymmetry? Evidence From Trading Costs, Nilabhra Bhattacharya, Hemang Desai, Kumar Venkataraman
Research Collection School Of Accountancy
Information asymmetry in financial markets relates to the idea that one party to a transaction has better information than the other. Since financial reporting involves the transmission of value-relevant enterprise information, we investigate whether the quality of reported earnings can contribute to differentially informed financial market participants. Higher information asymmetry is costly as it increases the adverse selection risk for market participants and lowers liquidity. For a large sample of NYSE and NASDAQ firms, we show that (i) poor earnings quality is significantly and incrementally associated with higher information asymmetry, (ii) earnings quality disproportionately affects information asymmetry for firms with …
Examining The Complications Of Global Energy Governance, Benjamin K. Sovacool, Ann Florini
Examining The Complications Of Global Energy Governance, Benjamin K. Sovacool, Ann Florini
Research Collection School of Social Sciences
This article systematically examines fundamental obstacles to effective and efficient global energy governance. The first part of the article defines and conceptualises governance, global governance and global energy governance. It also explores the existing global energy governance architecture, depicting six types of global energy governor – intergovernmental organisations, summit processes, international non-governmental organisations, multilateral financial institutions, regional organisations that involve two or more countries as members and hybrid entities – and a sample of 42 such institutions and organisations currently operating around the world. The second part of the article corrects some emerging misconceptions about global energy governance: that effective …
Automatic Compositional Verification Of Timed Systems, Shang-Wei Lin, Yang Liu, Jun Sun, Jin Song Dong, Étienne André
Automatic Compositional Verification Of Timed Systems, Shang-Wei Lin, Yang Liu, Jun Sun, Jin Song Dong, Étienne André
Research Collection School Of Computing and Information Systems
Specification and verification of real-time systems are important research topics with crucial applications; however, the so-called state space explosion problem often prevents model checking to be used in practice for large systems. In this work, we present a self-contained toolkit to analyze real-time systems specified using event-recording automata (ERAs), which supports system modeling, animated simulation, and fully automatic compositional verification based on learning techniques. Experimental results show that our tool outperforms the state-of-the-art timed model checker.
A Non-Parametric Visual-Sense Model Of Images: Extending The Cluster Hypothesis Beyond Text, Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
A Non-Parametric Visual-Sense Model Of Images: Extending The Cluster Hypothesis Beyond Text, Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
Research Collection School Of Computing and Information Systems
The main challenge of a search engine is to find information that are relevant and appropriate. However, this can become difficult when queries are issued using ambiguous words. Rijsbergen first hypothesized a clustering approach for web pages wherein closely associated pages are treated as a semantic group with the same relevance to the query (Rijsbergen 1979). In this paper, we extend Rijsbergen’s cluster hypothesis to multimedia content such as images. Given a user query, the polysemy in the return image set is related to the many possible meanings of the query. We develop a method to cluster the polysemous images …
Licensing Contracts: Control Rights And Options, Pascale Crama, Bert De Reyck, Niyazi Taneri
Licensing Contracts: Control Rights And Options, Pascale Crama, Bert De Reyck, Niyazi Taneri
Research Collection Lee Kong Chian School Of Business
The rise of the open innovation paradigm creates the opportunity and need for research and development (R&D) collaborations. R&D collaboration, however, can be challenging to manage because of the high degree of technical and market uncertainty as well as the difficulty in measuring research effort. We investigate how the contracts between the innovating parties structure the R&D collaboration and jointly optimize the payment terms and launch control rights, to offer the correct incentives to the innovator and the marketer. We find that the nature of the impact of the research effort matters as milestone payments are not always effective in …
Boosting Multi-Kernel Locality-Sensitive Hashing For Scalable Image Retrieval, Hao Xia, Steven C. H. Hoi, Pengcheng Wu, Rong Jin
Boosting Multi-Kernel Locality-Sensitive Hashing For Scalable Image Retrieval, Hao Xia, Steven C. H. Hoi, Pengcheng Wu, Rong Jin
Research Collection School Of Computing and Information Systems
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for similarity search in high-dimensional space, Locality-Sensitive Hashing (LSH) is the most popular one, which recently has been extended to Kernelized Locality-Sensitive Hashing (KLSH) by exploiting kernel similarity for better retrieval efficacy. Typically, KLSH works only with a single kernel, which is often limited in real-world multimedia applications, where data may originate from multiple resources or can be represented in several different forms. For example, in content-based multimedia retrieval, a variety of features can be extracted to represent …
Sampling And Ontologically Pooling Web Images For Visual Concept Learning, Shiai Zhu, Chong-Wah Ngo, Yu-Gang Jiang
Sampling And Ontologically Pooling Web Images For Visual Concept Learning, Shiai Zhu, Chong-Wah Ngo, Yu-Gang Jiang
Research Collection School Of Computing and Information Systems
Sufficient training examples are essential for effective learning of semantic visual concepts. In practice, however, acquiring noise-free training examples has always been expensive. Recently the rapid popularization of social media websites, such as Flickr, has made it possible to collect training exemplars without human assistance. This paper proposes a novel and efficient approach to collect training samples from the noisily tagged Web images for visual concept learning, where we try to maximize two important criteria, relevancy and coverage, of the automatically generated training sets. For the former, a simple method named semantic field is introduced to handle the imprecise and …
The Geographies Of Religious Conversion, Orlando Woods
The Geographies Of Religious Conversion, Orlando Woods
Research Collection School of Social Sciences
The paper reviews the corpus of research that attempts to explain the process of religious conversion, and explores the ways in which geographers can add new perspectives to the discourse. It argues that religious conversion is a phenomenon that goes beyond the reorientation of individual belief, and is instead a process of change that involves the (re)definition of self and other. Five conceptual frames are proposed - (1) conversion of space; (2) spaces of conversion; (3) spaces of negotiation; (4) the (im)mobile convert; and (5) the (dis)embodied convert - which are used to help define the geographies of religious conversion.
Measuring Reporting Conservatism Using The Dichev-Tang (2008) Model, Jimmy Kiat Bee Lee
Measuring Reporting Conservatism Using The Dichev-Tang (2008) Model, Jimmy Kiat Bee Lee
Research Collection School Of Accountancy
This paper provides a critical evaluation of an alternative measure of reporting conservatism introduced by Dichev and Tang (2008). Although there is substantial interest in research on accounting conservatism, there is no consensus among researchers on the most appropriate measure of conservatism in empirical studies. Dichev and Tang (2008) introduce a new measure of conservatism, which they believe to be a 'natural and practical measure of conservatism (p. 1441).' However, the econometric properties of this measure have not been fully evaluated, and previous studies have not provided evidence of this measure’s construct validity. Based on a parsimonious model of conservatism, …
Entrepreneurship, Professionalism, Leadership: A Framework And Measure For Understanding Boundaryless Careers, Kim-Yin Chan, Moon-Ho R. Ho, Oleksandr S. Chernyshenko, Olwen Bedford, Marilyn A. Uy, David M. Gomulya, Y. L. Sam, Wei Ming J. Phan
Entrepreneurship, Professionalism, Leadership: A Framework And Measure For Understanding Boundaryless Careers, Kim-Yin Chan, Moon-Ho R. Ho, Oleksandr S. Chernyshenko, Olwen Bedford, Marilyn A. Uy, David M. Gomulya, Y. L. Sam, Wei Ming J. Phan
Research Collection Lee Kong Chian School Of Business
We propose a person-centered framework for conceptualizing subjective careers in an increasingly boundaryless work context. Specifically, we argue that entrepreneurship, professionalism, and leadership (EPL) can serve as three key dimensions of subjective career space. We relate this framework to earlier macro-level national and organizational career models proposed by Kanter (1989) and Schein (1978). Our empirical study involving 10,326 Singaporean university students demonstrated that entrepreneurial, professional, and leadership career aspirations (including motivations, efficacies, and intentions) can be measured independently, that these career dimensions are independent of vocational interests, and that they are to some degree viewed as competing career alternatives. We …