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Quality measurement in agile and rapid software development: a systematic mapping [Dataset]

Abstract

This dataset has been used to generate part of the results included in the manuscript: “Quality Measurement in Agile and Rapid Software Development: A Systematic Mapping”, submitted to the Information and Software Technology journal (IST) at the time of publishing this dataset. The paper reports the results of a systematic mapping study surveying the literature related to quality requirements management through metrics in agile and rapid software development processes. The dataset contains the data extracted from the primary studies that was used in the analysis phase of the study and reported in the results section of the paper. The data extracted from the primary studies has been complemented with some data used for specific purposes, e.g. during the analysis phase, we included the list of companies collaborating in the paper analysing the authors’ affiliations to understand the level of implication of companies in the field. Complementing the data analysed, the dataset includes some detailed results that are not included in the body of the paper, i.e., the list of metrics reported in the selected primary studies.

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Quality measurement in agile and rapid software development: a systematic mapping [Dataset]

Author: López Cuesta, Lidia,Burgués Illa, Xavier,Martínez Fernández, Silverio Juan,Vollmer, Anna Maria,Behutiye, Woubshet,Karhapää, Pertti,Franch Gutiérrez, Javier,Rodriguez, Pilar,Oivo, Markku
Publisher: Universitat Politècnica de Catalunya
Year: 2020
DOI: 10.5821/data-2117-335910-1
Source: https://upcommons.upc.edu/bitstream/2117/335910/9/Metrics_in_ARSD%5b1%5d.pdf
1
Me ics in Agile and Rapid So wa e
De elopmen
López, L., Bu gués, X., Ma ínez-Fe nández, S., Vollme , A.M., Behu iye, W., Ka hapää, P., F anch, X.,
Rod íguez, P., & Oi o, M. Quali y Measu emen in Agile and Rapid So wa e De elopmen : A Sys ema ic
Mapping [Da ase ], .1. Uni e si a Poli ècnica de Ca alunya.
Quali y Requi emen s Me ics (ISO/IEC 25010)
QR (#me ics)
Me ics as epo ed in p ima y s udies
Reliabili y
(41)
De ec modi ica ions; de ec densi y; numbe o de ec s ca ied o e he nex i e a ion; lis o open
de ec s; mean ime o ailu e; mean ime be o e ailu e; passed es s; as es s; es co e age ( es ing
s a us); bug densi y; non-bug densi y; e o s a un ime; a ailabili y up ime; pos poned issues a io;
c i ical issues a io; build s abili y; uni es co e age o he de eloped code; open de ec se e i y
index; allowed e o coun pe ime; Se iceIns ances. ailO e Time; E o s.se e e; componen
ailu e; e o de ec ion; s a e co e age; ansi ion co e age; pa h co e age; numbe o de ec s; ype
o de ec s; numbe o bugs pe ime uni ; de ec densi y ( eleased de ec s/KLOEC o code ou
mon hs a e elease) ound by he cus ome a e elease; de ec densi y es de ec s/KLOEC o code;
numbe o es cases; es co e age; es densi y pe class; numbe o bugs; aul con e gence a e; C1
co e age; numbe o es ed classes; mean alue unc ion o de ec ed aul s; aul con en unc ion;
ailu e de ec ion a e unc ion. [No e: KLOEC = Thousands o lines o execu able code].
Main ainabili
y (27)
Complexi y; commen s; duplica ion; non-blocking iles; well de ined issues; o al LOC; change a e
o he sou ce code; main ainabili y; highly changed iles; weigh ed me hods o a class; coupling
be ween objec s; esponse o a class; lack o cohesion in me hods; dep h o inhe i ance ee; numbe
o child en; echnical deb ; access o o eign da a; class-le el cycloma ic complexi y; igh class
cohesion; e e en coupling; McCabe’s cycloma ic complexi y o a unc ion; e ec i e complexi y o
a ile; e ec i e cycloma ic complexi y pe cen age o a ile; code inco ec ness de ec abili y; lines o
code; uni es s; File.size.
Pe o mance
e iciency (22)
Sys em pe o mance; maximum ime pe mi ed o deploymen o new ins ances; execu ion;
Se iceIns ances.coun ; ope a ional pe o mance; a e age CPU usage; ins an aneous CPU usage;
memo y usage; la ency; pe o mance esponse ime; numbe o ansac ions pe second; esponse
ime; ansac ion p ocessing esponse ime; page ende ing esponse ime; que y p ocessing esponse
ime; numbe o pages ende ed pe second; numbe o messages pe second; scene g aph size;
milliseconds/ ame; maximum polygon & objec coun s a X ps ( ame pe second); ex e nal
g aphics ca d usage i he ha dwa e al eady ha e one and i 's ge ing used; h oughpu .
Secu i y (9)
Coun o baseline ulne abili ies; coun o eg essi e ulne abili ies; coun o new ulne abili ies;
en o cemen a io; amewo k misuse; numbe o open secu i y de ec s; p obabili y o success ul
a ack; impac o a ack; numbe o ulne abili ies.
Usabili y (5)
Sc een swi ch ime; isual/ins umen a ion ailu e; numbe o usabili y issues me by use s;
impo ance o usabili y issues me by use s; Use sa is ac ion.
Func ional
sui abili y (2)
End use eedback; ea u e usage (so wa e usage).
No classi ied
(1)
Lines o code [because he p ima y s udy epo ed i as a eliabili y me ic bu we would map i o
main ainabili y].
2
Quali y Managemen Indica o s
QMI (# epo ed
QMI)
QMIs as epo ed in p ima y s udies
P oduc Quali y (35)
A chi ec u al in eg i y, A chi ec u e s abili y, Blocking, Blocking code, Code Quali y,
Con inuous Code Quali y, De ec a e, De ec s deli e ed o he cus ome , De elopmen p og ess,
De elopmen Quali y, Ex e nal Quali y, Field Quali y, In e nal Quali y, Pos - elease quali y,
P e- elease quali y, P oduc quali y (based on secu i y), P oduc Quali y, P oduc Readiness,
P oduc Reliabili y, Pull Reques Release Readiness, Quali y, Quali y eedback loop, Realized
quali y equi emen s, Release Quali y, Release Readiness, So wa e design s abili y, So wa e
quali y, So wa e Reliabili y, So wa e s abili y (bugs), So wa e usage, Sys em complexi y,
Team's main enance quali y, Technical Deb , Tes ing S a us, Value
P oduc i i y (23)
Coding ac i i y, De ec ixing e iciency, De ec ixing e o , Deli e y speed, De elopmen
p oduc i i y, De elopmen p og ess, De elopmen speed, De elopmen s a us, Es ima ed e o ,
Fea u e h oughpu , Fixing speed, issues' eloci y, P oduc i i y, P oduc i i y a e, P og amme
P oduc i i y, P ojec cos and ime, P ojec p og ess, Release equency, Resou ce P oduc i i y,
Sp in p og ess, Team P oduc i i y, Tes ing ac i i ies e iciency, T end de elopmen
Risk (7)
Co ec ed isks, Pos poned isks, Rela i e isk, Risk, Risk (secu i y isk), Risk alue, Unhandled
isks
Cos (6)
Cos , De elopmen Cos , P ojec Cos Change, Rela i e Cos De ia ion, Re u n on In es men
(ROI), Technical Deb Cos
Schedule (6)
On-Time Deli e y, O e ime, Rela i e Schedule De ia ion, Release Delay, Time o elease,
Time- o-ma ke
P ocess
Pe o mance (3)
Implemen a ion phase pe o mance, P ocess pe o mance, Sys em es phase pe o mance
De elope
Sa is ac ion (2)
De elope sa is ac ion, Team mo ale
Agili y (2)
NERV Agili y Index, Ac i i y Agili y deg ee
P ojec Success (1)
P ojec Success
Cus ome
Sa is ac ion (1)
Cus ome sa is ac ion
Quali y Managemen Indica o s Me ics
QR (#me ics)
Me ics as epo ed in p ima y s udies
P oduc Quali y
(122)
#de ec s = numbe o open de ec s a he momen ; #de ec s injec ed pe sp in ; #de ec s/#bugs;
(de ec _ emo al_ a e) = a e age numbe o de ec s emo ed du ing las 4 weeks; (E o spen o
bug ixing / E o ) x 100; ( es _execu ion_ a e) = a e age numbe o es cases execu ed du ing he
las 4 weeks; ( es _pass_ a e) = a e age numbe o es cases passed du ing he las 4 weeks; Amoun
o p og amming e o ; a ailabili y up ime; Bad code smells; Blocking iles; B anch
Co e age/SLOC; b ead h o unc ionali y (mos o he unc ionali y, low- unc ionali y); Bug
densi y; Build s abili y; Code Chu n/ReleaseTime ( elease da e and s a da e o he de elopmen
phase); code is well s uc u ed and commen ed; Code Quali y Checking Ra e (Numbe o builds
subjec o a code quali y check di ided by he o al numbe o builds); Code e iews; Coding
Viola ions Densi y/SLOC; Commen Densi y/SLOC; commen ed code; Commen s wo ds;
Complexi y; C i ical Issues Ra io; C i ical iola ions; Cycloma ic Complexi y; Cycloma ic
Complexi y/SLOC; De ec densi y (De ec s / KLOC) ; de ec densi y (numbe o de ec s pe lines
o code); "de ec modi ica ions (numbe o iden i ied modi ica ions o each de ec pe unc ion);
de ec s ca ied o e nex i e a ion; De elopmen ask comple ion; duplica e code; E ec i eness
3
0.2*Abs ac ion + 0.2*Encapsula ion + 0.2*Composi ion + 0.2*Inhe i ance + 0.2*Polymo phism);
Elapsed F ame be ween Checks(A e age numbe o builds be ween wo builds subjec o a code
quali y check); Elapsed Time be ween Checks (A e age numbe o days be ween wo builds subjec
o a code quali y check); en i onmen a ailabili y; E o s a un ime; Ex endibili y
(0.5*Abs ac ion–0.5*Coupling+0.5*Inhe i ance+0.5* Polymo phism); Ex e nally-Visible Quali y
( eleased de ec s/KLOEC o code ou mon hs a e elease) ound by he cus ome a e elease;
Fas es builds; Fea u e usage; Flexibili y (0.25*Encapsula ion-0.25*Coupling+0.5*Composi ion
+0.5*Polymo phism); F equency o p og am speci ica ion change; unc ional co e age (no me ic);
Func ionali y (0.12*Cohesion+0.22*Polymo phism+0.22*Messaging + 0.22*Design
Size+0.22*Hie a chies; Hea map e isions pe model pe week (numbe o new checked iles);
Highly changed iles: Fo each commi : iles changed, lines o code added/modi ied/dele ed, au ho ,
and e ision ; In e nally-Visible Quali y as in e nal (p e- elease) de ec densi y es de ec s / KLOEC
o code KLOEC = Thousands o lines o execu able code; Le el o p og amming echnologies;
Li e ime (open o close pull eques ); LOC; Median Daily C ash Coun ; Median Daily C ash Coun :
he median o he numbe o c ashes pe day o a pa icula e sion (lowe is be e ); Median
Up ime; Median Up ime: he median ac oss he up ime alues o all he c ashes ha a e epo ed o
a e sion (highe is be e ).; Me ge ime (open o me ge pull eques ); Mos iola ed ules; Non-bug
densi y; Numbe o bugs epo s; Numbe o code changes; Numbe o commi commen s; Numbe
o commi s; Numbe o de ec s de ec ed (o e all); Numbe o de ec s de ec ed (pe pull eques s);
Numbe o de ec s pe i e a ion; numbe o ailed es cases; Numbe o iles added; Numbe o iles
dele ed; Numbe o iles modi ied; Numbe o unc ion pa ame e s; Numbe o issue commen s;
numbe o open de ec s; Numbe o pa icipan s; numbe o passed accep ance es s; numbe o
planned/no planned/cancelled es cases; Numbe o sou ce chu n; Numbe o sou ce iles; Numbe
o es chu n; Numbe o ouble epo s; Open De ec Se e i y Index; Pa e o dis ibu ion o de ec s
pe o igin; Pass/ all es cases; Passed es s (uni es densi y, passed/ o al); Pe cen age o Checked
B anches (Numbe o b anches con aining a leas one build subjec o a code quali y check di ided
by he numbe o o al b anches scheduled o build); Pe cen age o eused modules; Pos poned
issues a io; Pos -Release Bugs; Pos -Release Bugs: he numbe o bugs epo ed a e he elease
da e o a e sion (lowe is be e ); P og am complexi y; P og am wo kload (s ess); Rela ionship o
de ailed design o equi emen ; eliabili y; Requi emen analysis; Requi emen s elici a ion and
b eakdown; esponse imes; Reusabili y (-0.25*Coupling+0.25*Cohesion+0.5*Messaging
+0.5*Design Size); RR= #de ec s / ( (de ec _ emo al _ a e) − (( es _ execu ion _ a e) - ( es _
pass a e)) ) ; ules compliance (showing he size); SDI (Sys em Design Ins abili y): pe cen age o
classes whose names change om one i e a ion o he nex + pe cen age o class which we e added
+ pe cen age o classes which we e dele ed; SDIe (Sys em Design Ins abili y wi h en opy): using
he numbe classes added, dele ed, changed and unchanged om he p e ious i e a ion; Se e i y o
de ec s de ec ed; so wa e ix quali y (no me ic); Sou ce code commen s; Speci ica ion ask
comple ion; s a us o hei code, ela ed o se e al aspec s. E.g. ha he code is well s uc u ed, ha
i is easy o ead, and ha i has low complexi y; sys em esou ce u iliza ion (such as memo y, heap,
CPU, disk space, ne wo k); echnical pe o mance (e.g. speed); Tes co e age; Tes co e age
pe cen age (o e all); Tes co e age pe cen age (pe pull eques ); Tes de ec densi y pe line o code
(de ec #/LoC); Tes de ec densi y pe es scena io (de ec #/TS#); Tes success (Uni es success
densi y); Tes ing co e age; Tes ing e o ; h oughpu a e; TQI (To al quali y index) =
eusabili y+Flexibili y + Unde s andabili y + Func ionali y + Ex endibili y + E ec i eness; Types
o de ec s de ec ed; Unde s andabili y (-0.33*Abs ac ion+0.33*Encapsula ion-
0.33*Coupling+0.33*Cohesion-0.33*Polymo phism–0.33*Complexi y–0.33* Design Size); Uni
Tes Co e age;
P oduc i i y
(36)
lines o new code de eloped pe pe son-day and adjus ed o di e ing le els o p oduc complexi y;
%e o dis ibu ion pe p ojec ; (E o spen o bug ixing / E o ) x 100; Bug co ec ion ime;
Bu n-up/down (es ima ed/done s o y poin s); Check in pace; Check-in end; Code Chu n (# iles
modi ied in a commi ); Deli e y on ime; De elope Con ibu ion (#commi s); de elope s’ e o
spen on ixing de ec s.The numbe o de ec s di ided by he de elope s’ e o (measu ed by pe son
hou s); De elopmen Time; Fix Time: he du a ion o he ixing pe iod o a FIXED pos - elease bug,
i.e., he di e ence be ween he bug open ime and he las modi ica ion ime (lowe alue is be e );
4
Fix Time: he du a ion o he ixing pe iod o he bug (i.e., he di e ence be ween he bug open ime
and he las modi ica ion ime). This me ic is compu ed only o bugs wi h he s a us FIXED (lowe
is be e ).; Fixed Bugs: he numbe o pos - elease bugs ha a e closed wi h he s a us ield se o
FIXED (highe is be e ); Fixed Bugs: he numbe o p e- elease and pos - elease bugs ha a e closed
wi h he s a us ield se o FIXED (highe numbe s a e be e ).; in eg a ion speed (a g. ime o deli e
ea u es); Issues comple ely speci ied; Mean Complexi y; Mon hly Ac i e De elope s; Numbe o
check-ins cu en week; Numbe o check-ins las week; Numbe o open de ec s; passed/execu ed
es s; P ojec M/M (Man * Mon h); pull eques s me ged pe mon h (agains es co e age and usage
o CI o hei hypo hesis); Ra e o New Code (new lines o code); Resol ed issues assigned o a
da e; Schedule Pe o mance Index (SPI): ea ned alue di ided by he planned cos measu ed in
pe son hou s; Size/ E o ; S aleness: he numbe o days he e sion i is s ill in use a e a newe
e sion i+1 has been eleased; S o ies / Pe son Mon h S o ies in KLOEC (Thousands o lines o
execu able code); Tes p og ess; To al Lines o Code; Uncon i med Bugs: he numbe o pos -
elease bugs wi h he s a us ield se o UNCONFIRMED; Veloci y /E o ;
P ocess
Pe o mance
(30)
A e age au oma ion du a ion; Bug Leakage; Bugs a io; Build pe o mance; CI eedback ime;
Commi esponse ime; Commi e iew du a ion; Commi e iew i e a ions; Co e componen
commi s; De ec Remo al E o Ra io (pe son-hou /pe son-hou ); De elope - es e
communica ion; E o Es ima ion Capabili y (pe son-hou /pe son-hou ); End use eedback; E o
co ec ion; E o iden i ica ion; Fas es s; issue- ype in a ime ame; Long es s; Non-issue
componen commi s; Old issues; P oduc i i y (LoC/pe son-hou ); Resol ed issues h oughpu ;
Team h oughpu ; Tes E ec i eness (de ec #/pe son-hou ); Tes Execu ion V&V E ec i eness
(de ec #/de ec #); Tes Speed (TS#/pe son-hou ); Tes s pe p oduc ; Timely ea u e deli e y; Timely
ea u e speci ica ion deli e y; Uni es du a ion
Schedule (13)
% O e ime = (Ac ual Hou s/Expec ed Hou s) -1; ((Real ime - Planned ime) / Planned ime) x 100;
Abili y o esol e emaining alloca ed e o ; Abili y o esol e emaining unalloca ed e o ;
Accu acy o planning issues due da e: pe cen age o he di e ence be ween he planned due da e o
pas closed issues and he ac ual acked issue closing da e; ac ual - planned elease da e; Co e
componen commi s; Non-issue componen commi s; Pe cen age o issues la ge han he size
h eshold; Planning accu acy: a pe cen age o he di e ence be ween he planned e o o pas
closed issues and he ac ual acked e o ; Ra io o he a e age pas eloci y and he heo e ical
eloci y o he a ailable uni s; Timely ea u e speci ica ion deli e y; Timely elease deli e y
Agili y (19)
Agile P ocess Index; Agile P ojec Risk Fac o ; Change Tole a e; Cus ome In e ac ion; Flexibili y;
F ee o Modeling and Documen a ion; In o mali y; I e a i e; People O ien a ion; Requi emen s
Ambigui y Fac o ; Requi emen s Risk Fac o ; Requi emen s Vola ili y Fac o ; Simplici y; Speed o
Execu ion; Team Communica ions Index; Team Ma u i y Index; Team Technical Compe ency
Index; Team Veloci y Index; Team-Cus ome Collabo a ion Index
Cos (6)
Money; Time; E o ; (1-Cos _pp/Cos _bp) x 100; ((Real cos s - Planned cos s) / Planned cos s) x
100; Value (in pe cen age e ms) deli e ed pe pound spen on de elopmen
Risk (5)
Rela i e_Risk=E ec i e_M%*NR; E ec i e MacCabe's cycloma ic Complexi y pe cen age
(E ec i e_M%); Numbe o e isions o a ile (NR); Risk p io i y numbe (RPN)=se e i y anking,
occu ence anking, de ec ion anking; p obabili y o success ul a ack, impac o a ack
P ojec Success
(4)
De ec a e (numbe o e o s/complexi y); on Budge ; on Time; So wa e size FP = FPUI + FPOU
+ FPI whe e FP = Func ion Poin , FPUI = FP based on he numbe o inpu / ou pu documen s,
FPOU = FP based on he numbe o o ganiza ional uni s, FPI = FP based on he numbe o in e aces
wi h o he modules The esul is ounded o he i s g ea e in ege alue. FPUI = NoUI * WFUI,
FPOU= NoOU * WFOU, FPI = NoI * WFI, W = weigh
Cus ome
Sa is ac ion (3)
Cus ome sa is ac ion a ed be ween 0-100%, Quali a i e da a, ia in e iew and cus ome eedback
De elope
Sa is ac ion (2)
De elope sa is ac ion a ed be ween 0-100%; Su ey ques ion on he Shodan Adhe ence Su ey.
The ques ion ead, “How o en can you say you a e enjoying you wo k?”