3
.3.3 Identifying Complexity for Transaction Function Point Count
Table-3.6: Identifying Complexity of Transaction Function Point Count
Transition function
Field/ File Involved
FTRs DETs
Search admin list (EQ) Fields: id, mobile, email, textbox, button
File: admin
1
1
1
3
5
5
5
6
Search doctor list (EQ) Fields: id, mobile, specialty, textbox, button
File: doctor
Search patient list Fields: id, mobile, email, textbox, button
(EQ)
File: patient
Search appointment Fields: app_id, doc_name, pat_name, date,
list (EQ)
textbox, button
File: patient, appointment, doctor
Search prescription list Fields: pat_name, pres_id, doc_name,
3
1
5
(EQ)
textbox, button
File: patient, doctor, prescription
Fields: adm_name, adm_fname,
adm_mname, adm_mobile, adm_email,
adm_address, adm_dob, adm_gender,
adm_desig, adm_nid_pp, password
File: admin
Add new admin (EI)
11
Add new doctor (EI)
Field: doc_name, doc_mobile, doc_email,
1
13
doc_address,
doc_dob,
doc_gender,
doc_desig, doc_specialist, doc_consult_day,
doc_consult_from, doc_consult_to, doc_fee,
password
File: doctor
Add new patient (EI)
Field: pat_name, pat_mobile, pat_email,
pat_address, pat_age, pat_bg, pat_gender,
password
1
3
8
File: patient
Add new prescription Field: pat_mobile, doc_mobile, pres_date,
26
(EI)
bp, pulse, med_name1, med_strength1,
med_dose1, med_length1, med_taken1,
med_name2, med_strength2, med_dose2,
med_length2, med_taken2, med_name3,
med_strength3, med_dose3, med_length3,
med_taken3, test1, test1_result, test2,
test2_result, c/c, Advice
File: prescription, patient, doctor
Automated Prescription Management System, The Problem Solvers Group
8