How e-Entrepreneurs operate in the context of open source software

The Internet has become an integral part of our everyday lives and it is often difficult to imagine how we ever functioned without it. This chapter presents experiences of two entrepreneurial companies, one of which has survived the 'dot-com bubble burst.' The chapter identifies current and future online business environments especially in light of open source software (OSS)   being accepted globally. Unlike proprietary software (such as Windows), OSS comes with its internal implementation details (source code) visible both to its developers and users, along with the freedom to change and redistribute this source. The significant implications of this unique style of software distribution for e-entrepreneurs are examined. Having a flexible  strategic plan; possessing management skills; providing excellent service; and having patience are some of the recommendations provided by  interviewed e-entrepreneurs. When made part of the decision making  process, these recommendations would enhance current and future e_entrepreneurs in sustaining their business.

E-entrepreneurship and open source software

As the first stage of a larger project, this paper presents experiences of two e-Entrepreneurs in the light of Open Source Software (OSS) being accepted globally. Unlike proprietary software (such as Windows), OSS comes with its internal details visible to its users. The significant implications of this unique style of software distribution for e-Entrepreneurs are examined. Recommendations arising from the interviews include the need to be technically competent; understanding the reasons behind adopting this strategy; and identifying and addressing customers' requirements. Authors also found similarities between traits (such as being visionary; being responsive to market changes) which make an entrepreneur and e-Entrepreneurs successful.

Squatting at the digital campfire: researching the open source software community

This paper describes an internet-mediated netnography of the open source software (OSS) community. A brief history of OSS is presented, along with a discussion of the defining characteristics of the phenomenon. A theoretical rationale for the method is then offered and several unique features detailed. The evolution of the methodology in practice is described and salient lessons highlighted. In addition to gathering a large volume of rich data as intended, early phases of the implementation of this method produced a number of unanticipated but significant findings. The paper concludes by summarising the key methodological considerations for conducting a phenomenology of a true online community

Performance evaluation of open source seismic data processing packages

In many businesses, including hydrocarbon industries, reducing cost is of high priority. Although hydrocarbon industries appear able to afford the expensive computing infrastructure and software packages used to process seismic data in the search for hydrocarbon traps, it is always imperative to find ways to minimize cost. Seismic processing costs can be significantly reduced by using inexpensive, open source seismic data processing packages. However, hydrocarbon industries question the processing performance capability of open source packages, claiming that their seismic functions are less integrated and provide almost no technical guarantees for one to use. The objective of this paper is to demonstrate, through a comparative analysis, that open source seismic data processing packages are capable of executing the required seismic functions on an actual industrial workload. To achieve this objective we investigate whether or not open source seismic data processing packages can be executed using the same set of seismic data through data format conversions, and whether or not they can achieve reasonable performance and speedup when executing parallel seismic functions on a HPC cluster. Among the few open source packages available on the Internet, the subjects of our study are two popular packages: Seismic UNIX (SU) and Madagascar.

Reporting usability defects: limitations of open source defect repositories and suggestions for improvement

Capturing good quality defect reports is critical for ensuring quick resolution of defects. While a range of studies into defect reporting exists, to date, very few focused on usability defect reporting issues can be found. To better understand issues specific to usability defect reporting, we carried out a survey of 56 contributors to the Mozilla and Google Chromium software projects spanning both usability defect reporters and developers. We discovered a range of limitations and key issues in current usability defect reporting tools and approaches identified as important by reporters and developers. In addition, we highlight opportunities to improve defect-reporting tools based on these open source communities' needs.

An open source approach for regional cortical bone mineral density analysis

Objective: Cortical porosity, particularly at the endocortical region, is recognised to play a central role in the pathogenesis of bone fragility. Therefore, the purpose of this study was to: 1) demonstrate how cortical volumetric BMD (vBMD) distribution can be analysed from (p)QCT images and 2) highlight the clinical significance of assessing regional density distribution of cortical bone. 

Methods: We used pQCT to compare mid-tibial cortical volumetric BMD distribution of 20 young (age 24(SD2) years, mass 77(11) kg, height 178(6) cm) and 25 elderly (72(4) years, 75(9) kg, 172(5) cm) men. Radial and polar cortical vBMD distributions were analysed using a custom built open source analysis tool which allowed the cortex to be divided into three concentric cortical divisions and in 36 cortical sectors originating from the centroid of the bone.

Results: Mean vBMD did not differ between the groups (1135(16) vs. 1130(28) mg/cm, P=0.696). In contrast, there was a significant age-group by radial division interaction for radial cortical vBMD (P<0.001).

Conclusions: The proposed analysis method for analysing cortical bone density distribution of pQCT images was effective for detecting regional differences in cortical density between young and elderly men, which would have been missed by just looking at mean vBMD values.

Open-source vs proprietary VLE: An explanatory study of staff perceptions

This paper explores staff perceptions of two open-source Virtual learning environments (VLEs), Sakai 2.4.1 and Moodle 1.8, compared to Blackboard Vista 4. In general, staff felt that Sakai was simpler to use, but lacked some of the richer functionality available in Blackboard. A general dissatisfaction with both Sakai and Blackboard led to trialling of Moodle which was percieved more favourably than Blackboard

XBRL: an (open) source of enlightenment or disillusion?

Extensible Business Reporting Language (XBRL) is being adopted byEuropean regulators as a data standard for the exchange of business information. Thispaper examines the approach of XBRL International (XII) to the meta-data standard’sdevelopment and diffusion. We theorise the development of XBRL using conceptsdrawn from a model of successful open source projects. Comparison of the open sourcemodel to XBRL enables us to identify a number of interesting similarities anddifferences. In common with open source projects, the benefits and progress of XBRLhave been overstated and ‘hyped’ by enthusiastic participants. While XBRL is an opendata standard in terms of access to the equivalent of its ‘source code’ we find that thegovernance structure of the XBRL consortium is significantly different to a model opensource approach. The barrier to participation that is created by requiring paidmembership and a focus on transacting business at physical conferences and meetingsis identified as particularly critical. Decisions about the technical structure of XBRL,the regulator-led pattern of adoption and the organisation of XII are discussed. Finallyareas for future research are identified.

Non-referenced genome assembly from epigenomic short-read data

Current computational methods used to analyze changes in DNA methylation and chromatin modification rely on sequenced genomes. Here we describe a pipeline for the detection of these changes from short-read sequence data that does not require a reference genome. Open source software packages were used for sequence assembly, alignment, and measurement of differential enrichment. The method was evaluated by comparing results with reference-based results showing a strong correlation between chromatin modification and gene expression. We then used our de novo sequence assembly to build the DNA methylation profile for the non-referenced Psammomys obesus genome. The pipeline described uses open source software for fast annotation and visualization of unreferenced genomic regions from short-read data.

Using social software to support the teaching of IT professional practice

Social software has been used to support problem-based learning activities in a wholly online information technology (IT) professional practice course at Deakin University since 2006. When the course was first delivered, the authentic learning environment was a website, with an intranet and team forums created in Drupal, the open source content management system (CMS). Although this environment was suitable, feedback from students and teaching staff highlighted areas where improvements could be made. In the second year of the course, Joomla!, the open source CMS, in combination with Simple Machines Forum (SMF), the open source online discussion community software, was used to provide the website, as well as the intranet and team forums respectively. Feedback in 2007 was more positive, suggesting that the Joomla!-SMF social software combination and the features implemented, improved the learning and teaching experience in comparison to the 2006 version of the course.

Characterization and prediction of issue-related risks in software projects

Identifying risks relevant to a software project and planning measures to deal with them are critical to the success of the project. Current practices in risk assessment mostly rely on high-level, generic guidance or the subjective judgements of experts. In this paper, we propose a novel approach to risk assessment using historical data associated with a software project. Specifically, our approach identifies patterns of past events that caused project delays, and uses this knowledge to identify risks in the current state of the project. A set of risk factors characterizing “risky” software tasks (in the form of issues) were extracted from five open source projects: Apache, Duraspace, JBoss, Moodle, and Spring. In addition, we performed feature selection using a sparse logistic regression model to select risk factors with good discriminative power. Based on these risk factors, we built predictive models to predict if an issue will cause a project delay. Our predictive models are able to predict both the risk impact (i.e. the extend of the delay) and the likelihood of a risk occurring. The evaluation results demonstrate the effectiveness of our predictive models, achieving on average 48%-81% precision, 23%-90% recall, 29%-71% F-measure, and 70%-92% Area Under the ROC Curve. Our predictive models also have low error rates: 0.39-0.75 for Macro-averaged Mean Cost-Error and 0.7-1.2 for Macro-averaged Mean Absolute Error.

Subsuming methods: finding new optimisation opportunities in object-oriented software

The majority of existing application profiling techniques ag- gregate and report performance costs by method or call- ing context. Modern large-scale object-oriented applications consist of thousands of methods with complex calling pat- terns. Consequently, when profiled, their performance costs tend to be thinly distributed across many thousands of loca- tions with few easily identifiable optimisation opportunities. However experienced performance engineers know that there are repeated patterns of method calls in the execution of an application that are induced by the libraries, design patterns and coding idioms used in the software. Automati- cally identifying and aggregating costs over these patterns of method calls allows us to identify opportunities to improve performance based on optimising these patterns. We have developed an analysis technique that is able to identify the entry point methods, which we call subsuming methods, of such patterns. Our ofiine analysis runs over previously collected runtime performance data structured in a calling context tree, such as produced by a large number of existing commercial and open source profilers. We have evaluated our approach on the DaCapo bench- mark suite, showing that our analysis significantly reduces the size and complexity of the runtime performance data set, facilitating its comprehension and interpretation. We also demonstrate, with a collection of case studies, that our analysis identifies new optimisation opportunities that can lead to significant performance improvements (from 20% to over 50% improvement in our case studies).

Reporting usability defects-do reporters report what software developers need?

Reporting usability defects can be a challenging task, especially in convincing the software developers that the reported defect actually requires attention. Stronger evidence in the form of specific details is often needed. However, research to date in software defect reporting has not investigated the value of capturing different information based on defect type. We surveyed practitioners in both open source communities and industrial software organizations about their usability defect reporting practices to better understand information needs to address usability defect reporting issues. Our analysis of 147 responses show that reporters often provide observed result, expected result and steps to reproduce when describing usability defects, similar to the way other types of defects are reported. However, reporters rarely provide usability-related information. In fact, reporters ranked cause of the problem is the most difficult information to provide followed by usability principle, video recoding, UI event trace and title. Conversely, software developers consider cause of the problem as the most helpful information for them to fix usability defects. Our statistical analysis reveals a substantial gap between what reporters provide and what software developers need when fixing usability defects. We propose some remedies to resolve this gap.