{"title":"A Case-Based Reasoning Approach to Find Good Compiler Optimization Sequences","authors":"Ewerton Daniel de Lima, A. F. Silva, C. Herrera","doi":"10.1109/SCCC.2013.21","DOIUrl":"https://doi.org/10.1109/SCCC.2013.21","url":null,"abstract":"Among several optimizations provided by an optimizing compiler, it is a challenge, even for the most expert programmer, to know which compiler optimizations will generate the best target code. The goal of this paper is to describe a case-based reasoning approach that automatically selects a compiler optimization sequence that is able to outperform a well-engineered compiler optimization level in terms of runtime. The results obtained by our approach indicate that it achieves improvement on a set of standard benchmarks over a well-engineered compiler optimization sequence.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132068321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Method for Applying Process Mining to the Distribution of Non-alcoholic Beverages","authors":"M. Chamorro, S. Maturana","doi":"10.1109/SCCC.2013.26","DOIUrl":"https://doi.org/10.1109/SCCC.2013.26","url":null,"abstract":"Non-alcoholic beverage companies store a significant amount of data in their systems. However, by failing to convert this data into useful information for decision-making. Process mining aims to discover, monitor, and improve real processes by extracting knowledge from event logs available in current systems. This study provides a method for applying process mining to the distribution of non-alcoholic beverages, aiming to increase the quality of service delivered to customers by making the process more transparent. The method provides an orderly and practical guide of much of the knowledge that has been generated in the field of process mining. It allows for a comprehensive analysis by perspectives of process mining -- control-flow, organizational, cases, and performance -- following the L* life-cycle model stages. Additionally, it proposes recommendations and best practices in order to reduce the difficulty and costs, and improve the understanding of non-experts. The method is applied to the distribution process of a company in the non-alcoholic beverage bottling industry.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133366359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Bounded Predictability","authors":"L. B. Briones, A. Madalinski","doi":"10.1109/SCCC.2013.25","DOIUrl":"https://doi.org/10.1109/SCCC.2013.25","url":null,"abstract":"Complex systems often exhibit unexpected faults that are difficult to handle. A system that is predictable can anticipate faults and act accordingly. In particular, bounded predictability offers information that can be exploited by the system to adopt the best contingency plan. Such information is offered in form of a lower and upper bound. A lower bound guarantees a fault to occur after certain execution event, whereas an upper bound guarantees a fault to occur, in the future, but before some event. Complex systems are usually built from simpler components running concurrently. We study how to infer the bounded predictability property of a complex system (distributed and with multiple faults) from a parallel verification of bounded predictability of each of its components synchronising with fault free versions of the other one.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127564174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Overview of Syntactic and Semantic Issues in Software Product Lines","authors":"Samuel Sepúlveda Cuevas, Carlos Cares, C. Cachero","doi":"10.1109/SCCC.2013.15","DOIUrl":"https://doi.org/10.1109/SCCC.2013.15","url":null,"abstract":"Feature models are at the core of Software Product Lines (SPL). Along the years different feature modeling languages have been proposed. Although they share a set of core concepts, feature languages present differences such as specification meta language, visual and textual emphasis and language constructs, among others. The result of this situation is a contemporary set of dialects with dissimilarities. This paper presents a metamodel and a semantic framework to categorize syntactic variations and semantic anomalies in SPL.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126663263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval","authors":"Tomás Mardones, H. Allende, C. Moraga","doi":"10.1109/SCCC.2013.35","DOIUrl":"https://doi.org/10.1109/SCCC.2013.35","url":null,"abstract":"Content-based image retrieval is an important area of research in Multimedia, since it is linked to numerous image applications. Few works in the field have used differently sampled descriptors jointly to improve accuracy, but most of the time the improvement is attributed to other factors. In this paper, firstly we show that a couple descriptor sets can contribute complementary information if each set is sampled differently from the image. To complement the previous fact, we present a simple technique to combine differently sampled descriptors using Fisher Vectors achieving a significant performance improvement at the expense of a small fixed computational cost. Experiments indicate that these observations remain true in scenarios with large image databases.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132113854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Trust and Knowledge Obsolescence Relation","authors":"Pablo Cruz, H. Astudillo","doi":"10.1109/SCCC.2013.27","DOIUrl":"https://doi.org/10.1109/SCCC.2013.27","url":null,"abstract":"There are some contexts in social networks in which obsolescence of knowledge of a person regarding some topic of interest should be considered when establishing trust between parties. However, and as of this writing, obsolescence of knowledge has not been considered as a dimension in trust models. In this work we propose to consider obsolescence of knowledge in trust models. Two studies were run in order to explore the relation between trust and obsolescence of knowledge. Results from these studies show that trust is decreased as obsolescence is incremented and that the relation is not linear.","PeriodicalId":182181,"journal":{"name":"2013 32nd International Conference of the Chilean Computer Science Society (SCCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}