How do I identify records in table where dates overlap?

Hi
In a table I can have multiple records per Code. But if you look at the Start and End dates of the last two records they overlap.
Unique ID Code Start Date End Date
1 143     28-MAY-02     16-OCT-02
2 143     17-OCT-02      22-NOV-02
3 143     13-NOV-02     12-MAR-03
I want to be able to identify these and then change the values to be
Unique ID Code Start Date End Date
1 143     28-MAY-02     16-OCT-02
2 143     17-OCT-02      12-NOV-02
3 143     13-NOV-02     12-MAR-03
i.e. set the End Date of the 2nd record to be a day less than the start date of the 3rd record.
Can anyone please help with how I can do this?
Thanks
GB

You have to make the ordering unique, so I added the column end_date to the ordering.
And the solution prevented was buggy, so I replaced it with a new SQL statement:
SQL> create table test_table
2 as
3 select 1 uqid, 143 code, date '2002-05-28' start_date, date '2002-10-16' end_date from dual union all
4 select 2, 143, date '2002-10-17', date '2002-11-22' from dual union all
5 select 3, 143, date '2002-11-13', date '2003-03-12' from dual union all
6 select 1, 100, date '2007-02-01', date '2007-02-14' from dual union all
7 select 2, 100, date '2007-02-15', date '2007-02-15' from dual union all
8 select 3, 100, date '2007-02-15', date '2007-05-05' from dual
9 /
Tabel is aangemaakt.
SQL> select uqid
2       , code
3       , start_date
4       , end_date
5       , next_date -1 as replacement_date
6    from ( select uqid
7                , code
8                , start_date
9                , end_date
10                , LAG(start_date) over (partition by code order by start_date desc) as next_date
11             from test_table
12         )
13   order by code
14       , start_date
15 /
UQID CODE START_DATE          END_DATE            REPLACEMENT_DATE
    1   100 01-02-2007 00:00:00 14-02-2007 00:00:00 14-02-2007 00:00:00
    2   100 15-02-2007 00:00:00 15-02-2007 00:00:00
    3   100 15-02-2007 00:00:00 05-05-2007 00:00:00 14-02-2007 00:00:00
    1   143 28-05-2002 00:00:00 16-10-2002 00:00:00 16-10-2002 00:00:00
    2   143 17-10-2002 00:00:00 22-11-2002 00:00:00 12-11-2002 00:00:00
    3   143 13-11-2002 00:00:00 12-03-2003 00:00:00
6 rijen zijn geselecteerd.
SQL> select uqid
2       , code
3       , start_date
4       , greatest
5         ( least
6           ( lead(start_date,1,end_date+1) over (partition by code order by start_date, end_date) - 1
7           , end_date
8           )
9         , start_date
10         ) replacement_date
11    from test_table
12   order by code
13       , start_date
14       , end_date
15 /
UQID CODE START_DATE          REPLACEMENT_DATE
    1   100 01-02-2007 00:00:00 14-02-2007 00:00:00
    2   100 15-02-2007 00:00:00 15-02-2007 00:00:00
    3   100 15-02-2007 00:00:00 05-05-2007 00:00:00
    1   143 28-05-2002 00:00:00 16-10-2002 00:00:00
    2   143 17-10-2002 00:00:00 12-11-2002 00:00:00
    3   143 13-11-2002 00:00:00 12-03-2003 00:00:00
6 rijen zijn geselecteerd.Regards,
Rob.

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