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1

Baştemur Kaya, Ceren, and Hasan Çakır. "Utilization of Alice Software in Teaching Programming Language." Journal of Qualitative Research in Education 6, no. 2 (November 13, 2018): 1–20. http://dx.doi.org/10.14689/issn.2148-2624.1.6c2s9m.

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Berzano, D., and M. Krzewicki. "The ALICE Software Release Validation cluster." Journal of Physics: Conference Series 664, no. 2 (December 23, 2015): 022006. http://dx.doi.org/10.1088/1742-6596/664/2/022006.

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Chingale, R. "Alice and software patents: implications for India." Journal of Intellectual Property Law & Practice 10, no. 5 (February 26, 2015): 353–58. http://dx.doi.org/10.1093/jiplp/jpv003.

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Al-Turany, M., P. Buncic, P. Hristov, T. Kollegger, C. Kouzinopoulos, A. Lebedev, V. Lindenstruth, et al. "ALFA: The new ALICE-FAIR software framework." Journal of Physics: Conference Series 664, no. 7 (December 23, 2015): 072001. http://dx.doi.org/10.1088/1742-6596/664/7/072001.

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Erghelegiu, Bogdan, Alexandra Trif, Raluca-Margareta Manea, and Alexandru Boască. "The Restoration and Remodelling of Facades – A Permanent Necessity for the Conservation of History." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 383–86. http://dx.doi.org/10.2478/alife-2018-0057.

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Abstract The article presents a way of remodeling old building facades, which have been subject to degradation, with the help of common software. There are two methods of reconstruction presented: the first method is using the Adobe Photoshop software and the second method is using the Agisoft PhotoScan software. A comparative study is presented, by showing the advantages and disadvantages of methods, as well as their similarities and differences. The building that is the subject of the study is one of the oldest buildings belonging to the university. It is noted that by combining modern technology (aerial scanning) and common software solutions, there can be found a fast and reliable response to the need for restoration and conservation of historical buildings.
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Eulisse, Giulio, Piotr Konopka, Mikolaj Krzewicki, Matthias Richter, David Rohr, and Sandro Wenzel. "Evolution of the ALICE Software Framework for Run 3." EPJ Web of Conferences 214 (2019): 05010. http://dx.doi.org/10.1051/epjconf/201921405010.

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ALICE is one of the four major LHC experiments at CERN. When the accelerator enters the Run 3 data-taking period, starting in 2021, ALICE expects almost 100 times more Pb-Pb central collisions than now, resulting in a large increase of data throughput. In order to cope with this new challenge, the collaboration had to extensively rethink the whole data processing chain, with a tighter integration between Online and Offline computing worlds. Such a system, code-named ALICE O2, is being developed in collaboration with the FAIR experiments at GSI. It is based on the ALFA framework which provides a generalized implementation of the ALICE High Level Trigger approach, designed around distributed software entities coordinating and communicating via message passing. We will highlight our efforts to integrate ALFA within the ALICE O2 environment. We analyze the challenges arising from the different running environments for production and development, and conclude on requirements for a flexible and modular software framework. In particular we will present the ALICE O2 Data Processing Layer which deals with ALICE specific requirements in terms of Data Model. The main goal is to reduce the complexity of development of algorithms and managing a distributed system, and by that leading to a significant simplification for the large majority of the ALICE users.
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Jongprasithporn, Manutchanok, Wichai Sunkarat, Thanakorn Homsai, Teppakorn Sittiwanchai, and Nantakrit Yodpijit. "The performance improvement of look-alike sound-alike drug pre-dispensing." MATEC Web of Conferences 192 (2018): 01051. http://dx.doi.org/10.1051/matecconf/201819201051.

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Medical dispensing errors are common and classic human errors in the hospitals. Look-alike, Sound-alike (LASA) drug is one of the main issues in pre-dispensing and dispensing processes. The data in this study were observed from one middle size hospital in Thailand. In 2017, there were two months that the medication errors KPI (0.065 and 0.061) were greater than the accepted error threshold (0.06). The SBAR (Situation, Background, Assessment, and Recommendation) solution and HOSxP software were applied for three months in the pre-dispensing process to reduce the medical dispensing errors. The results showed that the medication errors KPI (0.04, 0.03, and 0.02, respectively) were reduced dramatically. Therefore, implementation of the SBAR and HOSxP software is recommended as a fast and easy solution for medical dispensing errors.
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Emmerton, Lynne, Colin Curtain, Girish Swaminathan, and Helen Dowling. "Development and exploratory analysis of software to detect look-alike, sound-alike medicine names." International Journal of Medical Informatics 137 (May 2020): 104119. http://dx.doi.org/10.1016/j.ijmedinf.2020.104119.

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Pausch, Randy. "Alice." ACM SIGCSE Bulletin 40, no. 1 (February 29, 2008): 1. http://dx.doi.org/10.1145/1352322.1352137.

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Binet, Sébastien. "Exploring polyglot software frameworks in ALICE FairMQ and fer." EPJ Web of Conferences 214 (2019): 05032. http://dx.doi.org/10.1051/epjconf/201921405032.

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In order to meet the challenges of the Run 3 data rates and volumes, the ALICE collaboration is merging the online and offline infrastructures into a common framework: ALICE-O2. O2 is based on FairRoot and FairMQ, a message-based, multi-threaded and multi-process control frame-work. In FairMQ, processes (possibly on different machines) exchange data via message queues either through 0MQ or nanomsg. In turn, this enables developers to write their reconstruction or analysis process in whatever language they choose or deem appropriate for the task at hand, as long as that programming language can send and receive data through these message queues. This paper introduces fer, a Go-based toolkit that interoperates with the C++ toolkit FairMQ, to explore the realm of polyglot distributed frameworks.
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Chapeland, Sylvain, and Filippo Costa. "Readout Software for the Alice Integrated Online-Offline (O2) System." EPJ Web of Conferences 214 (2019): 01041. http://dx.doi.org/10.1051/epjconf/201921401041.

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ALICE (A Large Ion Collider Experiment) is a heavy -ion detector studying the physics of strongly interacting matter and the quarkgluon plasma at CERN’s LHC (Large Hadron Collider). During the second long shutdown of the LHC, the ALICE detector will be upgraded to cope with an interaction rate of 50 kHz in Pb–Pb collisions, producing in the online computing system (O2) a sustained input throughput of 3 TB/s. The readout software is in charge of the first step of data-acquisition, handling the data transferred from over 8000 detector links to PC memory by dedicated PCI boards, formatting and buffering incoming traffic until sent to the next components in the processing pipeline. On the 250 readout nodes where it runs, the software has to sustain a throughput which can locally exceed 100 Gb/s. We present the modular design used to cope with various data sources (hardware devices and software emulators), integrated with the central O2 components (logging, configuration, monitoring, data sampling, transport) and initiating the online data flow using the standard O2 messaging system. Performance considerations and measurements are also discussed.
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Costa, Joana Martinho. "Using Alice Software with the Expository Method: A Pilot Study." International Journal of Engineering and Technology 10, no. 6 (December 31, 2018): 1681–86. http://dx.doi.org/10.21817/ijet/2018/v10i6/181006046.

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Seidman, Robert H. "Alice first." ACM SIGCSE Bulletin 41, no. 3 (August 25, 2009): 345. http://dx.doi.org/10.1145/1595496.1562986.

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Caristi, James, Stephen Cooper, and Judy Mullins. "Alice Frenzy." ACM SIGCSE Bulletin 39, no. 1 (March 7, 2007): 394. http://dx.doi.org/10.1145/1227504.1227448.

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Costa, Filippo, Sylvain Chapeland, Konstantinos Alexopoulos, and Ulric Fuchs. "Assessment of the ALICE O2 readout servers." EPJ Web of Conferences 245 (2020): 01013. http://dx.doi.org/10.1051/epjconf/202024501013.

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The ALICE experiment at CERN LHC (Large Hadron Collider) is undertaking a major upgrade during LHC Long Shutdown 2 in 2019-2020. The raw data input from the detector will then increase a hundredfold, up to 3.4 TB/s. In order to cope with such a large throughput, a new Online-Offline com-9 puting system, called O2, will be deployed. The FLP servers (First Layer Pro-10 cessor) are the readout nodes hosting the CRU (Common Readout Unit) cards in charge of transferring the data from the detector links to the computer mem-12 ory. The data then flow through a chain of software components until they are shipped over network to the processing nodes. In order to select a suitable plat-14 form for the FLP (First Level Processor), it is essential that the hardware and the software are tested together. Each candidate server is therefore equipped with multiple readout cards (CRU), one InfiniBand 100G Host Channel Adapter, and the O2 readout software suite. A series of tests are then run to ensure the readout system is stable and fulfils the data throughput requirement of 42Gbps (highest data rate in output of the FLP equipped with three CRUs). This paper presents the software and firmware features developed to evaluate and validate different candidates for the FLP servers. In particular we describe the data flow from the CRU firmware generating data, up to the network card where the buffers are sent over the network using RDMA. We also discuss the testing procedure and the results collected on different servers.
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Trif, Alexandra, Mihai Gidea, Bogdan Erghelegiu, Alexandru Boasca, and Sorin-Mihai Cimpeanu. "Research into the Utilization of Aerial Imaging for Evaluating the State of Vegetation." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 405–8. http://dx.doi.org/10.2478/alife-2018-0061.

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Abstract The paper aims to evaluate the potential of using aerial images captured from UAV’s, when compared with satellite images, for the purpose of monitoring rapeseed cultures. For this, a comparison is presented; two modern methods of gathering and processing images with the purpose of estimating the rapeseed culture yields, in contrast with the classic method. For this purpose, we use professional equipment to gather images, GPS RTK to provide advanced precision, as well as software such as Precision Flight to plan the flight routes, Precision Mapper to construct the orthophoto, custom made Python programs and LeoWorks to process and classify the resulting images.
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Costa, F., S. Chapeland, E. Denes, M. Frauman, C. Soós, F. Carena, W. Carena, et al. "Readout upgrade, hardware and software, for the ALICE Data Acquisition program." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 617, no. 1-3 (May 2010): 258–59. http://dx.doi.org/10.1016/j.nima.2009.06.073.

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18

Ram, D., T. Breitner, and A. Szostak. "Flexible event reconstruction software chains with the ALICE High-Level Trigger." Journal of Physics: Conference Series 396, no. 1 (December 13, 2012): 012042. http://dx.doi.org/10.1088/1742-6596/396/1/012042.

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19

Eulisse, Giulio, Anton Alkin, Jan Fiete Grosse-Oetringhaus, Peter Hristov, Gian Michele Innocenti, and Maja Jadwiga Kabus. "Data Analysis using ALICE Run 3 Framework." EPJ Web of Conferences 245 (2020): 06032. http://dx.doi.org/10.1051/epjconf/202024506032.

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The ALICE Experiment is currently undergoing a major upgrade program, both in terms of hardware and software, to prepare for the LHC Run 3. A new Software Framework is being developed in collaboration with the FAIR experiments at GSI to cope with the 100-fold increase in the number of recorded events. We present our progress to adapt such a framework for the end user physics data analysis. In particular, the design and technology choices are highlighted. How Apache Arrow is adopted as the platform for the in-memory analysis data layout is discussed. The benefits of this solution are illustrated, these include: efficient and parallel data processing, interoperability with a large number of analysis tools and ecosystems, integration with the modern ROOT declarative analysis framework RDataFrame.
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20

Danilowicz, Ronald L. "Alice in computerland." ACM SIGCSE Bulletin 24, no. 4 (December 1992): 20–26. http://dx.doi.org/10.1145/141837.141846.

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21

Singh, Gary. "Alive and Digital." IEEE Computer Graphics and Applications 30, no. 3 (May 2010): 4–5. http://dx.doi.org/10.1109/mcg.2010.48.

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Cuvliuc, Alina Elena, Gheorghe Emil Mărginean, Alexandru Kelemen, and Livia Vidu. "Comparative Study on Performance of Milk Production in Holstein Breed Exploated in Romania." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 142–48. http://dx.doi.org/10.2478/alife-2018-0021.

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Abstract The aim of this scientific paper is to reveal the trends of the parameters that quantitatively and qualitatively assess the milk production of the Holstein livestock exploited in Romania. The data used here came from 59 dairy farms throughout Romania and accounted for over 34,000 complete lactations from the period between 2012 and 2017. The comparison of currently processed data has been done with the results obtained over the last 20 years by another Romanian author. The following parameters, expressed per total lactation and normal lactation (305 days), were used to assess milk production: the length of lactation, quantitative milk production, quantitative fat production, and the concentration of milk in crude fat. The statistical processing of data was done using the Excel software. In general, in the last 20 years, there has been asignificant improvement in milk production of the Holstein livestock from Romania dairy farms.
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Kennedy, David N. "Share and Share Alike." Neuroinformatics 1, no. 3 (2003): 211–14. http://dx.doi.org/10.1385/ni:1:3:211.

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Tiganov, George, Magda-Ioana Nenciu, Cristian Sorin Danilov, and Victor Nicolae Nita. "Estimates of the Population Parameters and Exploitation Rate of Pontic Shad (Alosa Immaculata Bennett, 1835) in the Romanian Black Sea Coast." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 162–67. http://dx.doi.org/10.2478/alife-2018-0024.

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Abstract Sex ratio, morphometric characteristics, age and growth for Pontic shad from Romanian Black Sea Coast were examined. A total of 2.133 individuals were caught between March 2012 and September 2013. Female : male sex ratio was 0.62. According to the age reading, distribution varied form II to V year. The von Bertalanffy equation and growth performance index were determined by ESP software in Pontic shad. The asymptotic length (L∞ = L infinity) of Pontic shad generated by the ELEFAN I method, after introducing total length data for the two years of study, was 41.5. The natural mortality instantaneous coefficient (M) of the entire Pontic shad population, calculated according to Pauly’s empirical equation, using the growth parameters of the Von Bertalanffy formula and the mean annual temperature of the two study years of 13°C, recorded the following values: M = 0.585 in 2012 and M = 0.639 in 2013. According with the resultants, it is recommended to perform a sustainable fishing which allows the capture of legal-sized of fish.
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Sandu, Mirela, and Ana Virsta. "Polychlorinated Biphenyls in Soil: Exposure and Health Risk." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 399–404. http://dx.doi.org/10.2478/alife-2018-0060.

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Abstract The paper presents an original research regarding the risk for human health in the area of Ploiesti city using SADA software - Spatial Analysis and Decision Assistance. Due to the high level of toxicity, international legislation provides the list of PCBs compounds to be monitored: PCB28, 52, 101, 118, 138, 153, 180. Sample collection was made in 22 points including public green gardens, residential areas, roadsides and industrial areas. The chemical analyses were conducted in the Laboratory of National Research and Development Institute for Soil Science, Agro-Chemistry and Environment from Bucharest, according to an own analytical method adapted after EPA. According to the Romanian standards, PCBs were elevated across industrial regions near urban and industrial sources. The concentrations of PCBs overcome the normal values in the most sampling points and the area presents a potential of risk for people. Local authorities should address the human health threats from urban and industrial soils in Ploiesti city.
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Bablok, S., E. S. Conner, G. Hartung, R. Keidel, C. Kofler, T. Krawutschke, V. Lindenstruth, and D. Röhrich. "Front-End-Electronics Communication software for multiple detectors in the ALICE experiment." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 557, no. 2 (February 2006): 631–38. http://dx.doi.org/10.1016/j.nima.2005.11.208.

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Dalcher, Darren, and David Raffo. "Introduction to issue 8:3: software process improvement is alive and well." Software Process: Improvement and Practice 8, no. 3 (July 2003): 133–34. http://dx.doi.org/10.1002/spip.181.

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Todd, Peter M. "Adaptive Radiation of Alife Memes: Eight Artificial Life Book/Software Packages Reviewed." Adaptive Behavior 3, no. 3 (January 1995): 349–54. http://dx.doi.org/10.1177/105971239500300304.

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PEDRYCZ, W., G. SUCCI, and M. G. CHUN. "ASSOCIATION ANALYSIS OF SOFTWARE MEASURES." International Journal of Software Engineering and Knowledge Engineering 12, no. 03 (June 2002): 291–316. http://dx.doi.org/10.1142/s0218194002000913.

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Software measures (metrics) provide software engineers with an important means of quantifying essential features of software products and software processes such as software reliability, maintenance, reusability and alike. Software measures interact between themselves. Some of them may be deemed redundant. Software measures are used to construct detailed prediction models. The objective of this study is to pursue an association analysis of software measures by revealing dependencies (associations) between them. More specifically, the introduced association analysis is carried out at the local level by studying dependencies between information granules of the software measures. This approach is contrasted with a global level such as e.g., regression analysis. We discuss the role of information granules as meaningful conceptual entities that facilitate analysis and give rise to a user-friendly, highly transparent environment.
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Berzano, Dario, Roel Deckers, Costin Grigoras¸, Michele Floris, Peter Hristov, Mikolaj Krzewicki, and Markus Zimmermann. "The ALICE Analysis Framework for LHC Run 3." EPJ Web of Conferences 214 (2019): 05045. http://dx.doi.org/10.1051/epjconf/201921405045.

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The ALICE experimentatthe LHC (CERN)iscurrently developinganew software framework designed for Run3: detector and software will havetocope with Pb–Pb collision rates 100 times higher than today, leadingtothe combinationofcore Online-Offline operations intoasingle framework called O2. The analysis code is expectedtorunonafew large Analysis Facilities counting 20k cores and sustaining a 100 GB/s throughput: this requiresaconjoint effort between the definitionofthe data format, the configurationofthe Analysis Facilities and the developmentofthe Analysis Framework. Wepresent the prototypeofanew Analysis Object Data format basedontimeframes and optimized for continuous readout. Such formatisdesigned tobeextensible and transported efficiently over the network. Wealso present the first iterationofthe Analysis Framework, basedonthe O2 Data Processing Layer and leveraging message passing acrossatopologyofprocesses. Wewill also illustrate the implementation and benchmarkingofacompatibility layer designedtomitigate the transition from the current event-oriented analysis modeltothe new time-oriented one. Finally,wewill giveastatus reportonthe integrationofthe Analysis Framework and Analysis Facilities for Run3into the current organized analysis model in ALICE.
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Igna, Cornel, Stylianos Mavromatis, Bogdan Sicoe, and Larisa Schuszler. "Assessment of the Thermal Paw Print Symmetry of the Hind Legs in Healthy Dogs." “Agriculture for Life, Life for Agriculture” Conference Proceedings 1, no. 1 (July 1, 2018): 445–48. http://dx.doi.org/10.2478/alife-2018-0068.

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Abstract Our bibliographic insights have shown that although thermographic imaging in small animals has been poorly studied, the empirical use of thermographic images in dogs suggests that thermographic imaging could be a useful method in assessing walking anomalies. The study aims to identify existing thermal asymmetries between the thermal paw prints of the hind limbs in healthy dogs (right versus left). For thermal investigations, the Flir E50 thermal camera with a resolution of 240×180, thermal sensitivity of 0.05ºC, 45º×34ºA visual field and unbalanced microbolometer was used. Acclimatization of the animals in the space for examination was 30 minutes (at a room temperature of 20-23°C). The resulting images were recorded, processed and analyzed with the Flir tools 2017 software. The average, maximum and minimum temperature of each image was calculated using the program. The results obtained show that between the thermal paws marks of the posterior limbs in healthy dogs there is an average thermal asymmetry comprised between 0.2 and 1.4°C. Our study suggested that, under controlled conditions, thermographic paws prints could be used to diagnose locomotor abnormalities in dogs..
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Berzano, Dario, Chris Burr, Hans Beck, Violaine Bellée, Redmer Alexander Bertens, and Albert Puig Navarro. "Software training for the next generation of physicists: joint experience of LHCb and ALICE." EPJ Web of Conferences 214 (2019): 05044. http://dx.doi.org/10.1051/epjconf/201921405044.

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The need for good software training is essential in the HEP community. Unfortunately, current training is non-homogeneous and the definition of a common baseline is unclear, making it difficult for newcomers to proficiently join large collaborations such as ALICE or LHCb. In the last years, both collaborations have started separate efforts to tackle this issue through training workshops, via Analysis Tutorials (organized by the ALICE Juniors since 2014) and the Starterkit (organized by LHCb students since 2015). In 2017, ALICE and LHCb have for the first time joined efforts to provide combined training by identifying common topics, such as version control systems (Git) and programming languages (e.g. Python). Given the positive experience and feedback, this collaboration will be repeated in the future. We will illustrate the teaching methods, experience and feedback from our first common training workshop. We will also discuss our efforts to extend our format to other HEP experiments for future iterations.
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Cabodi, Gianpiero, Sergio Nocco, and Stefano Quer. "Are BDDs still alive within sequential verification?" International Journal on Software Tools for Technology Transfer 7, no. 2 (January 25, 2005): 129–42. http://dx.doi.org/10.1007/s10009-004-0172-7.

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Bache, Richard. "GOTO considered alive and well." Software Testing, Verification and Reliability 1, no. 1 (1991): 44–45. http://dx.doi.org/10.1002/stvr.4370010108.

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Clark, Chandra, Elena Plakhina, and Rey Rosales. "Keeping Passion Alive While Updating Journalism Skills." Journalism & Mass Communication Educator 75, no. 1 (February 25, 2020): 22–26. http://dx.doi.org/10.1177/1077695819900730.

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Educators face a major challenge protecting and nurturing students’ passion for journalism while scrambling to help them keep up with a work environment in constant flux. They cannot afford to sidetrack this passion while teaching new software, evolving technology, and marketplace needs. If universities want to produce the best and brightest future journalists, they need to teach the above while nurturing student excitement for the field. This syndicate offers three recommendations to reach this goal: reconsider the traditional learning “box” used for student curricula, evaluate experimentation and its value for the learning process, and engage students in passion projects that prompt critical thinking and problem-solving skills.
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Tong, Jing, Ligang Liu, Jin Zhou, and Zhigeng Pan. "Mona Lisa alive." Visual Computer 29, no. 6-8 (May 10, 2013): 535–44. http://dx.doi.org/10.1007/s00371-013-0799-z.

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Yeo, Il-Yeon, Sang-Un Ahn, Sang Oh Park, and Hee-Jun Yoon. "Analysis on the Performance of CVMFS in KISTI-GSDC ALICE System." International Journal of Software Engineering and Its Applications 9, no. 11 (November 30, 2015): 217–26. http://dx.doi.org/10.14257/ijseia.2015.9.11.20.

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Alkin, Anton, Giulio Eulisse, Jan Fiete Grosse-Oetringhaus, Peter Hristov, and Maja Kabus. "ALICE Run 3 Analysis Framework." EPJ Web of Conferences 251 (2021): 03063. http://dx.doi.org/10.1051/epjconf/202125103063.

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In LHC Run 3 the ALICE Collaboration will have to cope with an increase of lead-lead collision data of two orders of magnitude compared to the Run 1 and 2 data-taking periods. The Online-Offline (O2) software framework has been developed to allow for distributed and efficient processing of this unprecedented amount of data. Its design, which is based on a message-passing back end, required the development of a dedicated Analysis Framework that uses the columnar data format provided by Apache Arrow. The O2 Analysis Framework provides a user-friendly high-level interface and hides the complexity of the underlying distributed framework. It allows the users to access and manipulate the data in the new format both in the traditional “event loop” and a declarative approach using bulk processing operations based on Arrow’s Gandiva sub-project. Building on the well-tested system of analysis trains developed by ALICE in Run 1 and 2, the AliHyperloop infrastructure is being developed. It provides a fast and intuitive user interface for running demanding analysis workflows in the GRID environment and on the dedicated Analysis Facility. In this document, we report on the current state and ongoing developments of the Analysis Framework and of AliHyperloop, highlighting the design choices and the benefits of the new system.
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Pentland, A. "It's alive!" IBM Systems Journal 39, no. 3.4 (2000): 821–22. http://dx.doi.org/10.1147/sj.393.0821.

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Martinho COSTA, Joana, and Guilhermina Lobato MIRANDA. "Using Alice Software with 4C-ID Model: Effects in Programming Knowledge and Logical Reasoning." Informatics in Education 18, no. 1 (April 13, 2019): 1–15. http://dx.doi.org/10.15388/infedu.2019.01.

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Stern, Richard H. "Alice v. CLS Bank: Are US Business-Method and Software Patents Doomed? Part 1." IEEE Micro 34, no. 5 (September 2014): 64–69. http://dx.doi.org/10.1109/mm.2014.78.

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Stern, Richard H. "Alice v. CLS Bank: Are US Business-Method and Software Patents Doomed? Part 2." IEEE Micro 34, no. 6 (November 2014): 98—c3. http://dx.doi.org/10.1109/mm.2014.93.

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Sattar, Abdul, and Torben Lorenzen. "Teach Alice programming to non-majors." ACM SIGCSE Bulletin 41, no. 2 (June 25, 2009): 118–21. http://dx.doi.org/10.1145/1595453.1595488.

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44

Lopes, Nuno P., David Menendez, Santosh Nagarakatte, and John Regehr. "Provably correct peephole optimizations with alive." ACM SIGPLAN Notices 50, no. 6 (August 7, 2015): 22–32. http://dx.doi.org/10.1145/2813885.2737965.

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45

Poojitha, T. N. S., K. V. L. Pushpanjali, D. Goutham, K. V. Yashwanth, and Srinivas Prasad. "A study on mutation testing of object oriented programs." International Journal of Engineering & Technology 7, no. 1.1 (December 21, 2017): 243. http://dx.doi.org/10.14419/ijet.v7i1.1.9478.

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Mutation testing is a modern approach which gives more appropriate results. In comparison to traditional approaches, it gives high quality output. Previously it is not used mostly because of its high cost factor. This is because mutation testing deals with white box testing. White Box testing checks every module of the software in detail. If we use this it takes a lot of time and money. Recent approaches which came in mutation testing made it easy to implement for any software. Mutation take a look ating could be a fault based mostly testing technique within which mutants area unit generated within the program and apply totally different test cases on the mutants. Some mutants are killed and some are alive. On the bottom of killed and alive mutants, mutant score is calculated. Based on the mutants which are alive the test cases can be improvised there by the quality of the source code is increased. we propose a tool which gives more effective output of testing. We propose a tool which takes the outputs of various static tools available and combines it with the outputs of dynamic tools available. Our proposed tool includes outputs of available tools like Jester, Mujava, PMD to effectively detect the vulnerabilities and produce high quality software as output.
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46

Konopka, Piotr, and Barthélémy von Haller. "The ALICE O2 data quality control system." EPJ Web of Conferences 245 (2020): 01027. http://dx.doi.org/10.1051/epjconf/202024501027.

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The ALICE Experiment at CERN LHC (Large Hadron Collider) is undertaking a major upgrade during LHC Long Shutdown 2 in 2019–2021. The raw data input from the ALICE detectors will then increase a hundredfold, up to 3.5 TB/s. In order to cope with such a large amount of data, a new online-offline computing system, called O2, will be deployed. One of the key software components of the O2 system will be the data Quality Control (QC) that replaces the existing online Data Quality Monitoring and offline Quality Assurance. It involves the gathering, the analysis by user-defined algorithms and the visualization of monitored data, in both the synchronous and asynchronous parts of the O2 system. This paper presents the architecture and design, as well as the latest and upcoming features, of the ALICE O2 QC. The results of the extensive benchmarks which have been carried out for each component of the system are later summarized. Finally, the adoption of this tool amongst the ALICE Collaboration and the measures taken to develop, in synergy with their respective teams, efficient monitoring modules for the detectors, are discussed.
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47

Martinez Pedreira, M., C. Grigoras, and V. Yurchenko. "JAliEn: the new ALICE high-performance and high-scalability Grid framework." EPJ Web of Conferences 214 (2019): 03037. http://dx.doi.org/10.1051/epjconf/201921403037.

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The ALICE experiment will undergo extensive hardware and software upgrades for the LHC Run3. This translates in significant increase of the CPU and storage resources required for data processing, and at the same time the data access rates will grow linearly with the amount of resources. JAliEn (Java ALICE Environment) is the new Grid middleware designed to scale-out horizontally to fulfil the computing needs of the upgrade, and at the same time to modernize all parts of the distributed system software. This paper will present the architecture of the JAliEn framework, the technologies used and performance measurements. This work will also describe the next generation solution that will replace our main database backend, the AliEn File Catalogue. The catalogue is an integral part of the system, containing the metadata of all files written to the distributed Grid storage and also provides powerful search and data manipulation tools. As for JAliEn, the focus has been put onto horizontal scalability, with the aim to handle near exascale data volumes and order of magnitude more workload than the currently used Grid middleware. Lastly, this contribution will present how JAliEn manages the increased complexity of the tasks associated with the new ALICE data processing and analysis framework (ALFA) and multi-core environments.
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48

Yu, Liguo. "Using Kolmogorov Complexity to Study the Coevolution of Header Files and Source Files of C-alike Programs." International Journal of Knowledge and Systems Science 8, no. 2 (April 2017): 17–26. http://dx.doi.org/10.4018/ijkss.2017040102.

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In C-alike programs, the source code is separated into header files and source files. During the software evolution process, both these two kinds of files need to adapt to changing requirement and changing environment. This paper studies the coevolution of header files and source files of C-alike programs. Using normalized compression distance that is derived from Kolmogorov complexity, we measure the header file difference and source file difference between versions of an evolving software product. Header files distance and source files distance are compared to understand their difference in pace of evolution. Mantel tests are performed to investigate the correlation of header file evolution and source file evolution. The study is performed on the source code of Apache HTTP web server.
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49

Wieber, Frédéric, and Alexandre Hocquet. "Models, Parameterization, and Software: Epistemic Opacity in Computational Chemistry." Perspectives on Science 28, no. 5 (October 2020): 610–29. http://dx.doi.org/10.1162/posc_a_00352.

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Computational chemistry grew in a new era of “desktop modeling,” which coincided with a growing demand for modeling software, especially from the pharmaceutical industry. Parameterization of models in computational chemistry is an arduous enterprise, and we argue that this activity leads, in this specific context, to tensions among scientists regarding the epistemic opacity transparency of parameterized methods and the software implementing them. We relate one flame war from the Computational Chemistry mailing List in order to assess in detail the relationships between modeling methods, parameterization, software and the various forms of their enclosure or disclosure. Our claim is that parameterization issues are an important and often neglected source of epistemic opacity and that this opacity is entangled in methods and software alike. Models and software must be addressed together to understand the epistemological tensions at stake.
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50

Bergelt, René, and Norbert Englisch. "Towards Cloud-supported Automotive Software Development and Test." Embedded Selforganising Systems 7, no. 2 (September 18, 2020): 8–12. http://dx.doi.org/10.14464/ess.v7i2.440.

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The development of automotive software has been an evolving process for the last decades. As a result, the paradigm of software development which is independent of the target hardware platform has been adopted in almost all parts of the automotive industry. Deploying software to a hardware platform is now controlled by an enormous parameter set stored in a mapping configuration. This led to the creation of numerous vendor-specific tools for electronic control unit (ECU) development. While this approach simplifies and supports the re-usability of vehicle functions it also increases the complexity as well as the difficulty for integration tests and error localization. In this paper, we present a conceptual platform which allows to establish references between different development and test phase items in a developer-friendly way. It revolves around two self-developed tools supported by an extensive AUTOSAR knowledge base. The system creates inter-connectivity so that it becomes easier to locate the actual origin of a misbehavior or to find a test error manifestation in the actual end system for developers and testers alike.
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