This report is a summary of the Workshop on the Modeling and Analysis of Concerns in Software (MACS 2005) held at the 27th International Conference on Software Engineering (ICSE 2005). The main goal of the workshop was to bring together researchers and practitioners with interest in techniques for modeling and analyzing the realization of concerns in software systems to support software development and evolution. The workshop consisted of an interactive combination of presentations and discussions. The presentations and discussions were based on a collection of 16 short papers covering a wide range of approaches.
{"title":"First international workshop on the modeling and analysis of concerns in software (MACS 2005)","authors":"M. Robillard","doi":"10.1145/1082983.1082995","DOIUrl":"https://doi.org/10.1145/1082983.1082995","url":null,"abstract":"This report is a summary of the Workshop on the Modeling and Analysis of Concerns in Software (MACS 2005) held at the 27th International Conference on Software Engineering (ICSE 2005). The main goal of the workshop was to bring together researchers and practitioners with interest in techniques for modeling and analyzing the realization of concerns in software systems to support software development and evolution. The workshop consisted of an interactive combination of presentations and discussions. The presentations and discussions were based on a collection of 16 short papers covering a wide range of approaches.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270723","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}
D. Garlan, Marin Litoiu, H. Müller, J. Mylopoulos, Dennis B. Smith, K. Wong
Understanding software engineering issues for autonomic computing systems is critical for the software and information technology sectors, which are continually challenged to reduce the complexity of their systems. To be autonomic, a system must know itself as well as its boundaries and its environment, configure and reconfigure itself, continually optimize itself, recover or heal from malfunction, protect itself, and function in a heterogeneous world---while keeping its complexity hidden from the user. The goal of this workshop is to bring together researchers and practitioners, who investigate concepts, methodologies, techniques, technologies, and tools to design and evolve autonomic software.
{"title":"DEAS 2005: workshop on the design and evolution of autonomic application software","authors":"D. Garlan, Marin Litoiu, H. Müller, J. Mylopoulos, Dennis B. Smith, K. Wong","doi":"10.1145/1082983.1083064","DOIUrl":"https://doi.org/10.1145/1082983.1083064","url":null,"abstract":"Understanding software engineering issues for autonomic computing systems is critical for the software and information technology sectors, which are continually challenged to reduce the complexity of their systems. To be autonomic, a system must know itself as well as its boundaries and its environment, configure and reconfigure itself, continually optimize itself, recover or heal from malfunction, protect itself, and function in a heterogeneous world---while keeping its complexity hidden from the user. The goal of this workshop is to bring together researchers and practitioners, who investigate concepts, methodologies, techniques, technologies, and tools to design and evolve autonomic software.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409528","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}
Michele Lanza, Stéphane Ducasse, H. Gall, M. Pinzger
CodeCrawler is a language independent, interactive, information visualization tool. It is mainly targeted at visualizing object-oriented software, and has been successfully validated in several industrial case studies over the past few years. CC adheres to lightweight principles: it implements and visualizes polymetric views, visualizations of software enriched with information such as software metrics and other source code semantics. CC is built on top of Moose, an extensible language independent reengineering environment that implements the FAMIX metamodel. In its last implementation, CC has become a general-purpose information visualization tool.
{"title":"CodeCrawler - an information visualization tool for program comprehension","authors":"Michele Lanza, Stéphane Ducasse, H. Gall, M. Pinzger","doi":"10.1145/1062455.1062602","DOIUrl":"https://doi.org/10.1145/1062455.1062602","url":null,"abstract":"CodeCrawler is a language independent, interactive, information visualization tool. It is mainly targeted at visualizing object-oriented software, and has been successfully validated in several industrial case studies over the past few years. CC adheres to lightweight principles: it implements and visualizes polymetric views, visualizations of software enriched with information such as software metrics and other source code semantics. CC is built on top of Moose, an extensible language independent reengineering environment that implements the FAMIX metamodel. In its last implementation, CC has become a general-purpose information visualization tool.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115282192","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}
There is a need to identify factors that affect the result of empirical studies in software engineering research. It is still the case that seemingly identical replications of controlled experiments result in different conclusions due to the fact that all factors describing the experiment context are not clearly defined and hence controlled. In this article, a scheme for describing the participants of controlled experiments is proposed and evaluated. It consists of two main factors, the incentives for participants in the experiment and the experience of the participants. The scheme has been evaluated by classifying a set of previously conducted experiments from literature. It can be concluded that the scheme was easy to use and understand. It is also found that experiments that are classified in the same way to a large extent point at the same results, which indicates that the scheme addresses relevant factors.
{"title":"Experimental context classification: incentives and experience of subjects","authors":"Martin Höst, C. Wohlin, T. Thelin","doi":"10.1145/1062455.1062539","DOIUrl":"https://doi.org/10.1145/1062455.1062539","url":null,"abstract":"There is a need to identify factors that affect the result of empirical studies in software engineering research. It is still the case that seemingly identical replications of controlled experiments result in different conclusions due to the fact that all factors describing the experiment context are not clearly defined and hence controlled. In this article, a scheme for describing the participants of controlled experiments is proposed and evaluated. It consists of two main factors, the incentives for participants in the experiment and the experience of the participants. The scheme has been evaluated by classifying a set of previously conducted experiments from literature. It can be concluded that the scheme was easy to use and understand. It is also found that experiments that are classified in the same way to a large extent point at the same results, which indicates that the scheme addresses relevant factors.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128424994","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":"Software engineering education in the era of outsourcing, distributed development, and open source software: challenges and opportunities","authors":"Matthew J. Hawthorne, D. Perry","doi":"10.1007/11949374_11","DOIUrl":"https://doi.org/10.1007/11949374_11","url":null,"abstract":"","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681778","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}
Design for change is a well-known adagium in software engineering. We separate concerns, employ well-designed interfaces, and the like to ease evolution of the systems we build. We model and build in changeability through parameterization and variability points (as in product lines). These all concern places where we explicitly consider variability in our systems. We conjecture that it is helpful to also think of and explicitly model invariability, things in our systems and their environment that we assume will not change. We give examples from the literature and our own experience to illustrate how evolution can be seriously hampered because of tacit assumptions made. In particular, we show how we can explicitly model assumptions in an existing product family. From this, we derive a metamodel to document assumptions. Finally, we show how this type of modeling adds to our understanding of the architecture and the decisions that led to it.
{"title":"Explicit assumptions enrich architectural models","authors":"P. Lago, H. Vliet","doi":"10.1145/1062455.1062503","DOIUrl":"https://doi.org/10.1145/1062455.1062503","url":null,"abstract":"Design for change is a well-known adagium in software engineering. We separate concerns, employ well-designed interfaces, and the like to ease evolution of the systems we build. We model and build in changeability through parameterization and variability points (as in product lines). These all concern places where we explicitly consider variability in our systems. We conjecture that it is helpful to also think of and explicitly model invariability, things in our systems and their environment that we assume will not change. We give examples from the literature and our own experience to illustrate how evolution can be seriously hampered because of tacit assumptions made. In particular, we show how we can explicitly model assumptions in an existing product family. From this, we derive a metamodel to document assumptions. Finally, we show how this type of modeling adds to our understanding of the architecture and the decisions that led to it.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129480201","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}
We present an automatic error-detection approach that combines static checking and concrete test-case generation. Our approach consists of taking the abstract error conditions inferred using theorem proving techniques by a static checker (ESC/Java), deriving specific error conditions using a constraint solver, and producing concrete test cases (with the JCrasher tool) that are executed to determine whether an error truly exists. The combined technique has advantages over both static checking and automatic testing individually. Compared to ESC/Java, we eliminate spurious warnings and improve the ease-of-comprehension of error reports through the production of Java counterexamples. Compared to JCrasher, we eliminate the blind search of the input space, thus reducing the testing time and increasing the test quality.
{"title":"Check 'n' crash: combining static checking and testing","authors":"Christoph Csallner, Y. Smaragdakis","doi":"10.1145/1062455.1062533","DOIUrl":"https://doi.org/10.1145/1062455.1062533","url":null,"abstract":"We present an automatic error-detection approach that combines static checking and concrete test-case generation. Our approach consists of taking the abstract error conditions inferred using theorem proving techniques by a static checker (ESC/Java), deriving specific error conditions using a constraint solver, and producing concrete test cases (with the JCrasher tool) that are executed to determine whether an error truly exists. The combined technique has advantages over both static checking and automatic testing individually. Compared to ESC/Java, we eliminate spurious warnings and improve the ease-of-comprehension of error reports through the production of Java counterexamples. Compared to JCrasher, we eliminate the blind search of the input space, thus reducing the testing time and increasing the test quality.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"47 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260769","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}
This paper discusses an empirical assessment of pair programming. Several agile processes arose and have been adopted in industry with the promise of producing working software in the early phases of production process and to make the organization flexible and adaptable with respect to the changing environment. The outcomes of the experiments can be summarized as follows: (i) pair programming improves the productivity of developers with respect to solo programming; (ii) it also fosters knowledge transfer between the developers of the pair: the experiment suggests that this effect is emphasized when both the components own the same educational background; and, finally, (iii) distributing the components of a pair could seriously deteriorate expected benefits, if an appropriate support for communication and collaboration is not set up.
{"title":"Empirical validation of pair programming","authors":"C. A. Visaggio","doi":"10.1145/1062455.1062588","DOIUrl":"https://doi.org/10.1145/1062455.1062588","url":null,"abstract":"This paper discusses an empirical assessment of pair programming. Several agile processes arose and have been adopted in industry with the promise of producing working software in the early phases of production process and to make the organization flexible and adaptable with respect to the changing environment. The outcomes of the experiments can be summarized as follows: (i) pair programming improves the productivity of developers with respect to solo programming; (ii) it also fosters knowledge transfer between the developers of the pair: the experiment suggests that this effect is emphasized when both the components own the same educational background; and, finally, (iii) distributing the components of a pair could seriously deteriorate expected benefits, if an appropriate support for communication and collaboration is not set up.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131120227","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}
Empirical software engineering research has advanced in many parts of the world especially the western nations, but little has been contributed in this research domain by the developing nations such as Nigeria, the well-acclaimed 'Giant of Africa'. The fast growing software industry in the country suggests that we need to incorporate solid software engineering studies into the various software process activities of the stakeholders in the industry, if at all quality software products must be turned out into the ever-competing global market. Recent survey of the Nigeria software industry shows that the industry is just coming into limelight, and that the industry is beset with 'software process compromise'. This short article takes a cursory look into the state of software engineering research in Nigeria with particular reference to the nature of the nation's software industry and the student/academic environment as well as their posing problems. The article concludes with some cogent recommendations.
{"title":"Conducting empirical software engineering research in Nigeria: the posing problems","authors":"Akinola S. Olalekan","doi":"10.1145/1062455.1062576","DOIUrl":"https://doi.org/10.1145/1062455.1062576","url":null,"abstract":"Empirical software engineering research has advanced in many parts of the world especially the western nations, but little has been contributed in this research domain by the developing nations such as Nigeria, the well-acclaimed 'Giant of Africa'. The fast growing software industry in the country suggests that we need to incorporate solid software engineering studies into the various software process activities of the stakeholders in the industry, if at all quality software products must be turned out into the ever-competing global market. Recent survey of the Nigeria software industry shows that the industry is just coming into limelight, and that the industry is beset with 'software process compromise'. This short article takes a cursory look into the state of software engineering research in Nigeria with particular reference to the nature of the nation's software industry and the student/academic environment as well as their posing problems. The article concludes with some cogent recommendations.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132939051","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}
Predicting software quality as perceived by a customer may allow an organization to adjust deployment to meet the quality expectations of its customers, to allocate the appropriate amount of maintenance resources, and to direct quality improvement efforts to maximize the return on investment. However, customer perceived quality may be affected not simply by the software content and the development process, but also by a number of other factors including deployment issues, amount of usage, software platform, and hardware configurations. We predict customer perceived quality as measured by various service interactions, including software defect reports, requests for assistance, and field technician dispatches using the afore mentioned and other factors for a large telecommunications software system. We employ the non-intrusive data gathering technique of using existing data captured in automated project monitoring and tracking systems as well as customer support and tracking systems. We find that the effects of deployment schedule, hardware configurations, and software platform can increase the probability of observing a software failure by more than 20 times. Furthermore, we find that the factors affect all quality measures in a similar fashion. Our approach can be applied at other organizations, and we suggest methods to independently validate and replicate our results.
{"title":"Predictors of customer perceived software quality","authors":"A. Mockus, Ping Zhang, P. Li","doi":"10.1145/1062455.1062506","DOIUrl":"https://doi.org/10.1145/1062455.1062506","url":null,"abstract":"Predicting software quality as perceived by a customer may allow an organization to adjust deployment to meet the quality expectations of its customers, to allocate the appropriate amount of maintenance resources, and to direct quality improvement efforts to maximize the return on investment. However, customer perceived quality may be affected not simply by the software content and the development process, but also by a number of other factors including deployment issues, amount of usage, software platform, and hardware configurations. We predict customer perceived quality as measured by various service interactions, including software defect reports, requests for assistance, and field technician dispatches using the afore mentioned and other factors for a large telecommunications software system. We employ the non-intrusive data gathering technique of using existing data captured in automated project monitoring and tracking systems as well as customer support and tracking systems. We find that the effects of deployment schedule, hardware configurations, and software platform can increase the probability of observing a software failure by more than 20 times. Furthermore, we find that the factors affect all quality measures in a similar fashion. Our approach can be applied at other organizations, and we suggest methods to independently validate and replicate our results.","PeriodicalId":217879,"journal":{"name":"Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131912174","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}
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