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Agile Processes in Software Engineering and Extreme Programming- P6

Agile Processes in Software Engineering and Extreme Programming- P6:“The Program Commitee of XP 2000 invites you to participate in this meeting of software development researchers, professionals, educators, managers, and students. The conference brings together people from industry and academia to share experiences and ideas and to provide an archival source for important papers on flexible process-related topics. | 138 A. Marchenko and P. Abrahamsson developed code. Currently the main drawback of the static code analysis is the lack of empirical evidence of the correlation between the tool reports and the actual defects rate. There is also no explicit evidence in the area of embedded software that the use of automated static source code analysis would yield results that confirm the correlation between the actual defect rate and predicted defect rate. This paper presentsa case study on poOictP g defects in the domain of embedded software development by use of automated static code analysis tools. The suitability of two particular tools i.e. CodeScanner and PC-LINT is tested on a number of components shippedns apnct nCNoldasmartonone ioftware.Tne Oeaiibility cn a broader study is indinated. 2 Related Literature Fenton and Neil 1999 aetli ne inir nener td appronchettn predictiny iOc nembai o f defects in the system. 2 . bttiy aaticln is bnseO on iae appaecch of finding tno correlation between the defeni deosity nod the opde metrins. Thn metrine uted lat the defect rate prediction are 9tedyi9l by tie oracess of static code analysis - the analysis of software statically without attempting to execute it 3 There are some studies on the static code analysis effectiveness reporting somewhat controvert alresults.Dromey 1996 suggests that code analysis can find most of quality defects and report them in a way convenient for the developers to correct the code. 4 NanhiaterannndThomns Sene Pound ttatttrrn wan astronc correlation between ttc yeonber of PaPent predicttoi t e ititic ondtysir tnels and tPt number of defects fyunn by iertina ni . On nUe otter laoii I.auetnc and Yyundssi 1998 state that the coU. analyrts cat Ineate o nty c smalt yercentrge nf mcaniegyiC defects 6 As shown above cunoutiy ttero are virtealip no studiep eti applicaNInv yf static code analysis tools in ttn area of embndded ioewsae dennlopment as is tte csee in this study i.e. Symbion cpepating rmriem ecvirrnmeoi. .