Quality Properties of Execution Tracing, an Empirical Study
暂无分享,去创建一个
[1] Wei Hu,et al. Quality model based on ISO/IEC 9126 for internal quality of MATLAB/Simulink/Stateflow models , 2012, 2012 IEEE International Conference on Industrial Technology.
[2] Joost Visser,et al. Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics , 2008, 2008 12th European Conference on Software Maintenance and Reengineering.
[3] Yu Luo,et al. Log20: Fully Automated Optimal Placement of Log Printing Statements under Specified Overhead Threshold , 2017, SOSP.
[4] Souheil Khaddaj,et al. A Proposed Adaptable Quality Model for Software Quality Assurance , 2005 .
[5] Sepehr Forouzani,et al. Method for Assessing Software Quality Using Source Code Analysis , 2016, ICNCC '16.
[6] Ali Idri,et al. A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records , 2016, Journal of Medical Systems.
[7] H. Sunahara,et al. Extracting client-side streaming QoS information from server logs , 2005, PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005..
[8] Forrest Shull,et al. Using the ISO/IEC 9126 product quality model to classify defects: A controlled experiment , 2012, EASE.
[9] Ying-xing Li,et al. A Fuzzy Comprehensive Quality Evaluation for the Digitizing Software of Ethnic Antiquarian Resources , 2008, 2008 International Conference on Computer Science and Software Engineering.
[10] Boyuan Chen,et al. Extracting and studying the Logging-Code-Issue- Introducing changes in Java-based large-scale open source software systems , 2019, Empirical Software Engineering.
[11] Francisco Chiclana,et al. Modelling Execution Tracing Quality by Means of Type-1 Fuzzy Logic , 2013 .
[12] Ahmed E. Hassan,et al. Studying the relationship between logging characteristics and the code quality of platform software , 2015, Empirical Software Engineering.
[13] Ding Yuan,et al. Improving Software Diagnosability via Log Enhancement , 2012, TOCS.
[14] T. Rajaram,et al. Continual monitoring of code quality , 2011, ISEC.
[15] Philippe Thiran,et al. Analyzing Communities of Web Services Using Incentives , 2010, Int. J. Web Serv. Res..
[16] Jean-Louis Letouzey,et al. The SQALE method for evaluating Technical Debt , 2012, 2012 Third International Workshop on Managing Technical Debt (MTD).
[17] Michele Colajanni,et al. Real-time adaptive algorithm for resource monitoring , 2013, Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013).
[18] Olaf Spinczyk,et al. AspectC++ – An AOP Extension for C++ , 2005 .
[19] Francisco Chiclana,et al. Software Product Quality Models, Developments, Trends, and Evaluation , 2020, SN Computer Science.
[20] Jean-Louis Letouzey,et al. Managing Technical Debt with the SQALE Method , 2012, IEEE Software.
[21] Taghi M. Khoshgoftaar,et al. Multivariate assessment of complex software systems: a comparative study , 1995, Proceedings of First IEEE International Conference on Engineering of Complex Computer Systems. ICECCS'95.
[22] Carsten Weise,et al. Providing a Software Quality Framework for Testing of Mobile Applications , 2011, 2011 Fourth IEEE International Conference on Software Testing, Verification and Validation.
[23] Fariaz Karim,et al. Automated Health-Assessment of Software Components using Management Instrumentatio , 2006, 30th Annual International Computer Software and Applications Conference (COMPSAC'06).
[24] Dejan S. Milojicic,et al. QMON: QoS- and Utility-Aware Monitoring in Enterprise Systems , 2006, 2006 IEEE International Conference on Autonomic Computing.
[25] S. Isaksen,et al. A Reexamination of Brainstorming Research: Implications for Research and Practice , 2005 .
[26] Shing-Ko Liang,et al. Selecting the Optimal ERP Software by Combining the ISO 9126 Standard and Fuzzy AHP Approach , 2006 .
[27] Reinhold Plösch,et al. Operationalised product quality models and assessment: The Quamoco approach , 2014, Inf. Softw. Technol..
[28] Jinfu Chen,et al. Studying the characteristics of logging practices in mobile apps: a case study on F-Droid , 2019, Empirical Software Engineering.
[29] Andrei Toma,et al. Log4Perf: suggesting and updating logging locations for web-based systems’ performance monitoring , 2019, Empirical Software Engineering.
[30] Zhen Ming Jiang,et al. Characterizing and Detecting Anti-Patterns in the Logging Code , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
[31] Nikolaos Tsantalis,et al. Studying and detecting log-related issues , 2018, Empirical Software Engineering.
[32] Reinhold Plösch,et al. A Method for Continuous Code Quality Management Using Static Analysis , 2010, 2010 Seventh International Conference on the Quality of Information and Communications Technology.
[33] Hui Gao,et al. 2-D Software Quality Model and Case Study in Software Flexibility Research , 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.
[34] Reinhold Plösch,et al. The EMISQ method and its tool support-expert-based evaluation of internal software quality , 2008, Innovations in Systems and Software Engineering.
[35] Zhen Ming Jiang,et al. Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation , 2016, Empirical Software Engineering.
[36] Yangyang Zhang,et al. A Software Quality Quantifying Method Based on Preference and Benchmark Data , 2018, 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).
[37] Barbara A. Kitchenham,et al. The SQUID approach to defining a quality model , 1997, Software Quality Journal.
[38] Andreas S. Andreou,et al. A quality framework for developing and evaluating original software components , 2007, Inf. Softw. Technol..
[39] Meiyappan Nagappan,et al. Modeling cloud failure data: a case study of the virtual computing lab , 2011, SECLOUD '11.
[40] Cor-Paul Bezemer,et al. Examining the stability of logging statements , 2016, 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[41] Rodger Drabick,et al. Evolving a Corporate Software Quality Assessment Exercise : A Migration Path to ISO / IEC 9126 How , 2004 .
[42] Elli Georgiadou,et al. GEQUAMO—A Generic, Multilayered, Customisable, Software Quality Model , 2003, Software Quality Journal.
[43] Peng Shen,et al. Research on Software Quality Assurance Based on Software Quality Standards and Technology Management , 2018, 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).
[44] Qiang Fu,et al. Where do developers log? an empirical study on logging practices in industry , 2014, ICSE Companion.
[45] Margaret Ross,et al. Quality evaluation for Model-Driven Web Engineering methodologies , 2012, Inf. Softw. Technol..
[46] Stefan Wagner,et al. Introduction of static quality analysis in small- and medium-sized software enterprises: experiences from technology transfer , 2013, Software Quality Journal.
[47] Ahmed E. Hassan,et al. A Qualitative Study of the Benefits and Costs of Logging From Developers’ Perspectives , 2020, IEEE Transactions on Software Engineering.
[48] Srinarayan Sharma,et al. Impact of customization over software quality in ERP projects: an empirical study , 2016, Software Quality Journal.
[49] Florin Pop,et al. MICE: Monitoring high-level events in cloud environments , 2016, 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI).
[50] R. Geoff Dromey,et al. A Model for Software Product Quality , 1995, IEEE Trans. Software Eng..
[51] Jean-Louis Letouzey. Managing Large Application Portfolio with Technical Debt Related Measures , 2016, 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA).
[52] Souheil Khaddaj,et al. Use of an adaptable quality model approach in a production support environment , 2009, J. Syst. Softw..
[53] Morgan Ericsson,et al. Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities , 2018, 2018 IEEE Working Conference on Software Visualization (VISSOFT).
[54] Indrajit Ray,et al. Cloud Log Forensics Metadata Analysis , 2012, 2012 IEEE 36th Annual Computer Software and Applications Conference Workshops.
[55] Francisco Chiclana,et al. Performance of Execution Tracing with Aspect-Oriented and Conventional Approaches , 2020 .
[56] J. Ferreira,et al. Internal and external validity: can you apply research study results to your patients? , 2018, Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia.
[57] Ali Idri,et al. Experiment design of free pregnancy monitoring mobile personal health records quality evaluation , 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).
[58] Heng Li,et al. Studying software logging using topic models , 2018, Empirical Software Engineering.
[59] Jinqiu Yang,et al. DLFinder: Characterizing and Detecting Duplicate Logging Code Smells , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE).
[60] Katia P. Sycara,et al. Semantic Web Services Monitoring: An OWL-S Based Approach , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).