An empirical study of the robustness of MacOS applications using random testing

There are many operating systems (OSes) in use today; however, the three most commonly used are Windows 7, Linux, and Mac OS X. In my opinion, Mac OS X Lion combines the best of both Windows 7 and Linux, marrying the ease of use of the former to the tremendous power inherent in the latter. Thus, Lion enables the most novice user to get his work done with ease, yet power users like myself can create programs and automation tools that take full advantage of the underlying software and hardware features of the UNIX operating system that underpins Mac OS X Lion.

Graphical User Interfaces (GUIs) are amongst the most common user interfaces, enabling interactions with applications through mouse movements and key presses. Tools for automated testing of programs through their GUI exist, however they usually rely on operating system or framework specific knowledge to interact with an application. Due to frequent operating system updates, which can remove required information, and a large variety of different GUI frameworks using unique underlying data structures, such tools rapidly become obsolete, Consequently, for an automated GUI test generation tool, supporting many frameworks and operating systems is impractical. We propose a technique for improving GUI testing by automatically identifying GUI widgets in screen shots using machine learning techniques. As training data, we generate randomized GUIs to automatically extract widget information. The resulting model provides guidance to GUI testing tools in environments not currently supported by deriving GUI widget information from screen shots only. In our experiments, we found that identifying GUI widgets in screen shots and using this information to guide random testing achieved a significantly higher branch coverage in 18 of 20 applications, with an average increase of 42.5% when compared to conventional random testing.

ExHuME 1.3: A Monte Carlo event generator for exclusive diffraction

In this paper we focus on the design and implementation of low cost, cross language and cross platform Information Retrieval and Documentation tools capable for the collection, organization and administration of unstructured and semi-structured information imported from various sources. A modular Computer Assisted Information Resources Navigation (CAIRN) software architecture is proposed and the requirements of each module are presented. A discussion of the implementation is based on the experimentation with a prototype of such a software tool. The technologies that are incorporated into the modern operating systems and the opportunities that they offer for implementing the modules of the CAIRN architecture are also examined and evaluated. Some of these technologies are common / independent from the operating systems, while some others are distinctive. In this latter case we face barriers (restrictions) for a straightforward implementation of the CAIRN software systems to the whole range of desktop operating systems (e.g. Windows, Mac OS, Linux, Solaris). Some alternative technologies are presented to avoid this serious constraint. The evaluation of the implementation effort is also discussed and eventually some conclusions and future plans for further improvement of the CAIRN architecture are given.

No. 117: Non-Operative Management of Blunt Spleen Trauma BST

Desktop Grids represent an alternative trend in Grid computing using the same software infrastructure as Volunteer Computing projects, such as BOINC. Applications to be deployed on a BOINC infrastructure need special preparations. However, there are many legacy applications, that have either no source code available or would require too much effort to port. For these applications BOINC provides a wrapper. This wrapper can handle the simple cases and it is configurable, but it can only be used to execute a list of legacy executables (tasks) one after the other. GenWrapper aims to provide a generic solution for wrapping and executing an arbitrary set of legacy applications by utilizing a POSIX like shell scripting environment to describe how the application is to be run and how the work unit should be processed. This is realized by an extended version of BusyBox providing the most common UNIX commands and a POSIX shell interpreter in a single executable with a special applet (BusyBox extension) to make BOINC API functions accessible from the shell on Windows, Linux and Mac OS X platforms. In this paper we present how GenWrapper works and how it can be used to port legacy applications to Desktop Grid systems.

The Windows is most popular operating system in the market. But it is not more secure than Linux, it is not high reliable, it does not provides hardware flexibility and better choices, it does not reliable. But it is more user friendly operating system due to its attractive GUI. Different software programs are designed for different operating systems, and most will not work on systems that they were designed. So many of the companies are migrated from Windows to Linux. So this paper examines the survey of Windows to Linux migration with wine. Wine is reimplementation of Windows API. It also has a unique architecture. It implements as a compatibility layer over a Unix-like kernel which allows Unix-like operating system to run 32 bit application of Windows with wine and its libraries. Organizations consider migrating to Linux to reduce costs and increase and improve stability, security, uptime, and availability.

Running behind the slick Mac OS X Aqua GUI is Darwin, the POSIX-compliant, UNIXbased environment that forms the foundation of Mac OS X. While the majority of Mac OS X users never find it necessary to use the command line, for those that are willing to learn there is whole new world of powerful computing awaiting.

Chapter 10 - Mac SSH

Comparing transcriptomic data with proteomic data to identify protein-coding sequences is a long-standing challenge in molecular biology, one that is exacerbated by the increasing size of high-throughput datasets. To address this challenge, and thereby to improve the quality of genome annotation and understanding of genome biology, we have developed an integrated suite of programs, called Pinstripe. We demonstrate its application, utility and discovery power using transcriptomic and proteomic data from publicly available datasets. To demonstrate the efficacy of Pinstripe for large-scale analysis, we applied Pinstripe's reverse peptide mapping pipeline to a transcript library including de novo assembled transcriptomes from the human Illumina Body Atlas (IBA2) and GENCODE v10 gene annotations, and the EBI Proteomics Identifications Database (PRIDE) peptide database. This analysis identified 736 canonical open reading frames (ORFs) supported by three or more PRIDE peptide fragments that are positioned outside any known coding DNA sequence (CDS). Because of the unfiltered nature of the PRIDE database and high probability of false discovery, we further refined this list using independent evidence for translation, including the presence of a Kozak sequence or functional domains, synonymous/non-synonymous substitution ratios and ORF length. Using this integrative approach, we observed evidence of translation from a previously unknown let7e primary transcript, the archetypical lncRNA H19, and a homolog of RD3. Reciprocally, by exclusion of transcripts with mapped peptides or significant ORFs (>80 codon), we identify 32 187 loci with RNAs longer than 2000 nt that are unlikely to encode proteins. Pinstripe (pinstripe.matticklab.com) is freely available as source code or a Mono binary. Pinstripe is written in C# and runs under the Mono framework on Linux or Mac OS X, and both under Mono and .Net under Windows. m.dinger@garvan.org.au or j.mattick@garvan.org.au Supplementary data are available at Bioinformatics online.

BackgroundOne of the requirements for a successful scientific tool is its availability. Developing a functional web service, however, is usually considered a mundane and ungratifying task, and quite often neglected. When publishing bioinformatic applications, such attitude puts additional burden on the reviewers who have to cope with poorly designed interfaces in order to assess quality of presented methods, as well as impairs actual usefulness to the scientific community at large.ResultsIn this note we present WeBIAS—a simple, self-contained solution to make command-line programs accessible through web forms. It comprises a web portal capable of serving several applications and backend schedulers which carry out computations. The server handles user registration and authentication, stores queries and results, and provides a convenient administrator interface. WeBIAS is implemented in Python and available under GNU Affero General Public License. It has been developed and tested on GNU/Linux compatible platforms covering a vast majority of operational WWW servers. Since it is written in pure Python, it should be easy to deploy also on all other platforms supporting Python (e.g. Windows, Mac OS X). Documentation and source code, as well as a demonstration site are available at http://bioinfo.imdik.pan.pl/webias.ConclusionsWeBIAS has been designed specifically with ease of installation and deployment of services in mind. Setting up a simple application requires minimal effort, yet it is possible to create visually appealing, feature-rich interfaces for query submission and presentation of results.

Unintended pregnancy remains a major public health concern in the United States. Information on pregnancy rates among contraceptive users is needed to guide medical professionals' recommendations and individuals' choices of contraceptive methods. Data were taken from the 1995 National Survey of Family Growth (NSFG) and the 1994-1995 Abortion Patient Survey (APS). Hazards models were used to estimate method-specific contraceptive failure rates during the first six months and during the first year of contraceptive use for all U.S. women. In addition, rates were corrected to take into account the underreporting of induced abortion in the NSFG. Corrected 12-month failure rates were also estimated for subgroups of women by age, union status, poverty level, race or ethnicity, and religion. When contraceptive methods are ranked by effectiveness over the first 12 months of use (corrected for abortion underreporting), the implant and injectables have the lowest failure rates (2-3%), followed by the pill (8%), the diaphragm and the cervical cap (12%), the male condom (14%), periodic abstinence (21%), withdrawal (24%) and spermicides (26%). In general, failure rates are highest among cohabiting and other unmarried women, among those with an annual family income below 200% of the federal poverty level, among black and Hispanic women, among adolescents and among women in their 20s. For example, adolescent women who are not married but are cohabiting experience a failure rate of about 31% in the first year of contraceptive use, while the 12-month failure rate among married women aged 30 and older is only 7%. Black women have a contraceptive failure rate of about 19%, and this rate does not vary by family income; in contrast, overall 12-month rates are lower among Hispanic women (15%) and white women (10%), but vary by income, with poorer women having substantially greater failure rates than more affluent women. Levels of contraceptive failure vary widely by method, as well as by personal and background characteristics. Income's strong influence on contraceptive failure suggests that access barriers and the general disadvantage associated with poverty seriously impede effective contraceptive practice in the United States.

To implement a hardware and software system able to perform the major functions of an Open-Source PACS, and to analyze it in a simulated real-world environment. A small home network was implemented, and the Open-Source operating system Ubuntu 11.10 was installed in a laptop containing the Dcm4chee suite with the software devices needed. The Open-Source PACS implemented is compatible with Linux OS, Microsoft OS, and Mac OS X; furthermore, it was used with operating systems that guarantee the operation in portable devices (smartphone, tablet) Android and iOS. An OSS PACS is useful for making tutorials and workshops on post-processing techniques for educational and training purposes.

Affine.m—Mathematica package for computations in representation theory of finite-dimensional and affine Lie algebras

chapter 23 - Automation with AppleScript