Replication Package – Machine Learning for Software Aging Detection: A Systematic Mapping Study

Sys ema ic Mapping S udy – Da a
Ex ac ion Fo m
This o m ou lines he a iables o ex ac ing da a om s udies included in a
sys ema ic mapping s udy SMS. Each a iable is designed o cap u e speci ic
in o ma ion ele an o unde s anding he me hodology, indings, and con ex
o he e iewed pape s.
● V1 BibTexId: Unique bibliog aphic iden i ie o he s udy.
● V2 Pape Ti le: The ull i le o he publica ion.
● V3 Da abase: The digi al lib a y o indexing da abase whe e he s udy
was e ie ed.
● V4 Publica ion Yea : The yea in which he s udy was published.
● V5 Publica ion Type: The ype o publica ion, such as jou nal a icle,
con e ence pape , among o he s.
● V6 Con e ence o Jou nal: The name o he jou nal o con e ence
p oceedings in which he s udy appea ed.
● V7 Main Objec i e: The p ima y goal o esea ch ques ion add essed
by he s udy.
● V8 Domain/Applica ion A ea: The speci ic domain o applica ion ield
in which he s udy was conduc ed (e.g., Cloud-based applica ions,
Vi ual machine applica ions).
● V9 Execu ion En i onmen : The a ge en i onmen analyzed in he
s udy.
● V10 So wa e Sys ems: Sys ems o applica ions analyzed in he s udy.
● V11 App oach/Technique: The me hodological o algo i hmic app oach
employed (e.g., supe ised lea ning, unsupe ised me hods).
● V12 P ep ocessing Technique: Da a p ep ocessing s a egies applied
(e.g., no maliza ion, ea u e selec ion, ou lie emo al).
● V13 ML Algo i hm: The machine lea ning algo i hm(s) implemen ed
(e.g., Random Fo es RF, Neu al Ne wo ks).
● V14 E alua ion Me ics: Me ics used o assess model pe o mance
(e.g., accu acy, p ecision, ecall, F1-sco e, ROCAUC.
● V15 ML P oblem: Type o machine lea ning p oblem ackled (e.g.,
classi ica ion, eg ession, anomaly de ec ion).
● V16 Aging Indica o s Adop ed: Sys em deg ada ion o aging indica o s
moni o ed (e.g., CPU usage, memo y consump ion).
● V17 Da ase Name: The name o designa ion o he da ase used in he
s udy.
● V18 Da ase Type: Na u e and cha ac e is ics o he da ase used in
he s udy.
● V19 Da ase Sou ce: O igin o eposi o y whe e he da ase was
ob ained.
● V20 Challenges/Limi a ions: Key limi a ions, cons ain s, o open
challenges iden i ied in he s udy.
● V21 Fu u e Wo k/Recommenda ions: Sugges ions made by he
au ho s o u u e esea ch di ec ions o imp o emen s.
● V22 No es: Addi ional ele an no es o obse a ions no co e ed by
o he a iables.