@inproceedings{MendoncaSOBLBKS18,
	author = {Mendon\c{c}a, Diogo S. and da Silva, Tarcila G. and de Oliveira, Daniel Ferreira and Brand\~{a}o, Julliany Sales and Lopes, Helio and Barbosa, Simone D. J. and Kalinowski, Marcos and von Staa, Arndt},
	title = {Applying Pattern-driven Maintenance: A Method to Prevent Latent Unhandled Exceptions in Web Applications},
	abstract = {Background: Unhandled exceptions affect the reliability of web applications. Several studies have measured the reliability of web applications in use against unhandled exceptions, showing a recurrence of the problem during the maintenance phase. Detecting latent unhandled exceptions automatically is difficult and application-specific. Hence, general approaches to deal with defects in web applications do not treat unhandled exceptions appropriately. Aims: To design and evaluate a method that can support finding, correcting, and preventing unhandled exceptions in web applications. Method: We applied the design science engineering cycle to design a method called Pattern-Driven Maintenance (PDM). PDM relies on identifying defect patterns based on application server logs and producing static analysis rules that can be used for prevention. We applied PDM to two industrial web applications involving different companies and technologies, measuring the reliability improvement and the precision of the produced static analysis rules. Results: In both cases, our approach allowed identifying defect patterns and finding latent unhandled exceptions to be fixed in the source code, enabling to completely eliminate the pattern-related failures and improving the application reliability. The static analysis rules produced by PDM achieved a precision of 59-68% in the first application and 89-100% in the second, where lessons learnt from the first evaluation were addressed. Conclusions: The results strengthen our confidence that PDM can help maintainers to improve the reliability for unhandled exceptions in other existing web applications.},
	booktitle = {Proceedings of the 12th {ACM/IEEE} International Symposium on Empirical Software Engineering and Measurement, {ESEM} 2018, Oulu, Finland, October 11-12},
	year = {2018},
	pages = {31:1--31:10},
	urlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/MendoncaSOBLBKS18.pdf},
	doi = {10.1145/3239235.3268924},
}

{"_id":"bDjpo4jMnDQk8iQmE","bibbaseid":"mendona-dasilva-deoliveira-brando-lopes-barbosa-kalinowski-vonstaa-applyingpatterndrivenmaintenanceamethodtopreventlatentunhandledexceptionsinwebapplications-2018","downloads":2,"creationDate":"2018-08-16T20:39:14.349Z","title":"Applying Pattern-driven Maintenance: A Method to Prevent Latent Unhandled Exceptions in Web Applications","author_short":["Mendonça, D. S.","da Silva, T. G.","de Oliveira, D. F.","Brandão, J. S.","Lopes, H.","Barbosa, S. D. J.","Kalinowski, M.","von Staa, A."],"year":2018,"bibtype":"inproceedings","biburl":"https://bibbase.org/f/2Gq6bNPQ845THHiMW/KalinowskiPapers.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Mendonça"],"firstnames":["Diogo","S."],"suffixes":[]},{"propositions":["da"],"lastnames":["Silva"],"firstnames":["Tarcila","G."],"suffixes":[]},{"propositions":["de"],"lastnames":["Oliveira"],"firstnames":["Daniel","Ferreira"],"suffixes":[]},{"propositions":[],"lastnames":["Brandão"],"firstnames":["Julliany","Sales"],"suffixes":[]},{"propositions":[],"lastnames":["Lopes"],"firstnames":["Helio"],"suffixes":[]},{"propositions":[],"lastnames":["Barbosa"],"firstnames":["Simone","D.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Kalinowski"],"firstnames":["Marcos"],"suffixes":[]},{"propositions":["von"],"lastnames":["Staa"],"firstnames":["Arndt"],"suffixes":[]}],"title":"Applying Pattern-driven Maintenance: A Method to Prevent Latent Unhandled Exceptions in Web Applications","abstract":"Background: Unhandled exceptions affect the reliability of web applications. Several studies have measured the reliability of web applications in use against unhandled exceptions, showing a recurrence of the problem during the maintenance phase. Detecting latent unhandled exceptions automatically is difficult and application-specific. Hence, general approaches to deal with defects in web applications do not treat unhandled exceptions appropriately. Aims: To design and evaluate a method that can support finding, correcting, and preventing unhandled exceptions in web applications. Method: We applied the design science engineering cycle to design a method called Pattern-Driven Maintenance (PDM). PDM relies on identifying defect patterns based on application server logs and producing static analysis rules that can be used for prevention. We applied PDM to two industrial web applications involving different companies and technologies, measuring the reliability improvement and the precision of the produced static analysis rules. Results: In both cases, our approach allowed identifying defect patterns and finding latent unhandled exceptions to be fixed in the source code, enabling to completely eliminate the pattern-related failures and improving the application reliability. The static analysis rules produced by PDM achieved a precision of 59-68% in the first application and 89-100% in the second, where lessons learnt from the first evaluation were addressed. Conclusions: The results strengthen our confidence that PDM can help maintainers to improve the reliability for unhandled exceptions in other existing web applications.","booktitle":"Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2018, Oulu, Finland, October 11-12","year":"2018","pages":"31:1–31:10","urlauthor_version":"http://www.inf.puc-rio.br/~kalinowski/publications/MendoncaSOBLBKS18.pdf","doi":"10.1145/3239235.3268924","bibtex":"@inproceedings{MendoncaSOBLBKS18,\r\n\tauthor = {Mendon\\c{c}a, Diogo S. and da Silva, Tarcila G. and de Oliveira, Daniel Ferreira and Brand\\~{a}o, Julliany Sales and Lopes, Helio and Barbosa, Simone D. J. and Kalinowski, Marcos and von Staa, Arndt},\r\n\ttitle = {Applying Pattern-driven Maintenance: A Method to Prevent Latent Unhandled Exceptions in Web Applications},\r\n\tabstract = {Background: Unhandled exceptions affect the reliability of web applications. Several studies have measured the reliability of web applications in use against unhandled exceptions, showing a recurrence of the problem during the maintenance phase. Detecting latent unhandled exceptions automatically is difficult and application-specific. Hence, general approaches to deal with defects in web applications do not treat unhandled exceptions appropriately. Aims: To design and evaluate a method that can support finding, correcting, and preventing unhandled exceptions in web applications. Method: We applied the design science engineering cycle to design a method called Pattern-Driven Maintenance (PDM). PDM relies on identifying defect patterns based on application server logs and producing static analysis rules that can be used for prevention. We applied PDM to two industrial web applications involving different companies and technologies, measuring the reliability improvement and the precision of the produced static analysis rules. Results: In both cases, our approach allowed identifying defect patterns and finding latent unhandled exceptions to be fixed in the source code, enabling to completely eliminate the pattern-related failures and improving the application reliability. The static analysis rules produced by PDM achieved a precision of 59-68% in the first application and 89-100% in the second, where lessons learnt from the first evaluation were addressed. Conclusions: The results strengthen our confidence that PDM can help maintainers to improve the reliability for unhandled exceptions in other existing web applications.},\r\n\tbooktitle = {Proceedings of the 12th {ACM/IEEE} International Symposium on Empirical Software Engineering and Measurement, {ESEM} 2018, Oulu, Finland, October 11-12},\r\n\tyear = {2018},\r\n\tpages = {31:1--31:10},\r\n\turlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/MendoncaSOBLBKS18.pdf},\r\n\tdoi = {10.1145/3239235.3268924},\r\n} \r\n\r\n","author_short":["Mendonça, D. S.","da Silva, T. G.","de Oliveira, D. F.","Brandão, J. S.","Lopes, H.","Barbosa, S. D. 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