3 eady been defined as sections 53 and 54 and 54

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Unformatted text preview: key responses of effort, interval, quality. We present three such indices, two dealing with quality and and present three such indices, two dealing with quality one with effort, which are discussed more thoroughly one with effort, which are discussed more thoroughly in in already been defined as Sections 5.3 eady been defined as Sections 5.3 and 5.4. and 5.4. commentary source lines, Predictors of the number faults that will have to be mentary source lines, Predictors of the number of of faults that will have to be ll files f belonging to m. fixed in module m (and, thus, of the quality response) in a les f belonging to m. fixed in module m (and, of faults the quality response) in ain module m Fault Potential 1. The number thus, of that will have to be fixed te in Section 5, extensive future interval of time, taken from [20], include the in f ture i terval effects are dampened [20 , in n Section 5, extensive theufuture. nChange of time, taken fromover ]timeclude the d software ªcomplexityº weighted time damp model oftware ªcomplexityº EICK ET AL DOES CODE model X ly correlated with xgƒv in weighted .:time dampDECAY? ASSESSING THE EVIDENCE FROM CHANGE MANAGEMENT DATA orrelated with xgƒvwith p€‡„h …m; t† ˆ I X eÀ ‰tÀhe„i…™†Š fectively synonymous in À ‰tÀhe„i…™†Š p€ to …mless than m; he„i †< estimated‡„hbe ; t† ˆ c e>one, as …™in t oure data). Statistical 5.1 Temporal Behavior I vely synonymous with …R† c > m; he„i…™†< analyses of the models appear in™Sectiont 5.3.…™; m†Š …RThe CDI FILES of (3) meas †  log‰e ehh… ; m† ‡ hiv  log‰faults …that †willhiv…™to be fixedhow many code units (files 4.2.6 Effort Fault Potential II. The number of ehh ™; m ‡ have ; m†Š in a module • • implement it. An increase a software unit m as the and the generalized linear model One may construct predictors of the effort (person-hours) symptomatic of decay, as d X in ines. The unitof eqi the a and the generalized linear model> code (when beta is <1) use m as in the future. Faults are less likely in older oftware 1fc e b g f t eqi…m† e …S† requirep€qvw …m; tl† mentÂa change my Âi ting r; gression d to i p e ˆ P Fig. 3 shows that span Section 4.2.5. X cPÁ effort as functions ofm† . The use of eqi in a equations for measurements of 1fc e> mg  eqi… factors …Sunder study. There, we dis ; † p€qvw …m; t† ˆ P  ility of the ages of the lines 10 that affect effort. A sample form for such and eqi is ion[19] in Fig. 2 shows the where Á is the entire set of deltas up to time t a regression time an MR touches more 4.2.5. cPÁ w relationship Section 4.2.4 of the ages of the lines , in which each point corre Effortdiscussed in is: Model: person-hours , I , and P 10 e. The files are represented where Á predictors of theand where up to time t and are eqi is is the statistical analysis. estimated usingentire set of deltas X coordinate is time represen 19] in Fig. 2 shows the ged for confidentiality) and 1 , e f , and are EFF…c†Section a4.2.4 and ‡ a2 ˆ a0 ‡ 1 FILES…c† where fc ,> gjf j Both of these indices illuminate change as theI primaryP y-coordinate is one when m he files are represented discussed in f resented by colored lines agent creating statistical analysis. estimated usingfaults. (Even though faults do not arise † zero otherwise. Three loca …6 for these colored lines are of confidentiality) and † ‡ a3 ADD…c† ‡ a4 DEL…cabsence of other spontaneously, this is not a tautology: The and Both of these indices illuminate change as the primary [22] for introduction a fnted by colored lines of characters in the lines terms such as faults. complexity DEV †: informative.) and (Even a6 is highly top agent creatingsize ‡ a5 INT…c† ‡though…cfaults do not arise plot. These smooths interpreted as lookingare a at these colored lines averages, where the weigh The indices depict differing tautology:effects. In (4), the temporal The Here, jf j denotes the size a f. tance. The color lines line spontaneously, this is notin NCSL of the file absence of other of...
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This document was uploaded on 03/16/2014 for the course EE 360f at University of Texas.

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